Patent application number | Description | Published |
20080249667 | LEARNING AND REASONING TO ENHANCE ENERGY EFFICIENCY IN TRANSPORTATION SYSTEMS - There is employment of machine learning, reasoning, and optimization included in a multi-attribute utility framework to learn and control energy systems to enhance the efficiency of vehicles. This can include energy systems included in vehicles that employ multiple energy sources. There is construction of models that provide inferences given historical information and/or real-time sensing of contextual information that are used in optimization. Such inferences about such key uncertainties as that route being taken are used in optimizing the expected utilities. | 10-09-2008 |
20080310707 | VIRTUAL REALITY ENHANCEMENT USING REAL WORLD DATA - Techniques for enhancing virtual reality using transformed real world data are disclosed. In some aspects, a composite reality engine receives a transmission of the real world data that is captured by embedded sensors situated in the real world. The real world data is transformed and integrated with virtual reality data to create a composite reality environment generated by a composite reality engine. In other aspects, the composite reality environment enables activation of embedded actuators to modify the real world from the virtual reality environment. In still further aspects, techniques for sharing sensors and actuators in the real world are disclosed. | 12-18-2008 |
20080313119 | LEARNING AND REASONING FROM WEB PROJECTIONS - A system and method that facilitates and effectuates making an inference related to objects of interest within a context. A web projection component can generate sub graphs by projecting objects o interest onto a web graph representing a superset or partially overlapping set of objects to the objects of interest. An inference component can provide inferences relating to the quality of the objects of interest, adjustments to the context, and patterns recognized from graphical properties of the sub graphs. | 12-18-2008 |
20080313127 | MULTIDIMENSIONAL TIMELINE BROWSERS FOR BROADCAST MEDIA - The claimed subject matter provides a system and/or method that effectuates selective viewing of multimedia audio and/or visual content. The disclosed system can include a component that obtains multimedia audio or visual content from a broadcast server, categorizes the multimedia audio or visual content, and associates index tags to categorized multimedia audio or visual content. The index tags are utilized to provide a facility to search or summarize the categorized multimedia audio or visual content, wherein the resultant searches and summarizations can be displayed on a display associated with the component. | 12-18-2008 |
20080319658 | LANDMARK-BASED ROUTING - Driving directions can be helpful if in addition to spatial information, landmark information is provided. Landmarks assist in adding context to directions as well as allowing for a greater likelihood of success of an operator following directions. There can be employment of physical identification of landmarks as well as processing regarding the utility of a landmark in regards to driving directions. Driving directions can be highly useful if integrated landmarks relate to knowledge possessed by an operator of a vehicle. Landmark based driving direction can be integrated with advertisements that relate to the directions. | 12-25-2008 |
20080319659 | LANDMARK-BASED ROUTING - Driving directions can be helpful if in addition to spatial information, landmark information is provided. Landmarks assist in adding context to directions as well as allowing for a greater likelihood of success of an operator following directions. There can be employment of physical identification of landmarks as well as processing regarding the utility of a landmark in regards to driving directions. Driving directions can be highly useful if integrated landmarks relate to knowledge possessed by an operator of a vehicle. Landmark based driving direction can be integrated with advertisements that relate to the directions. | 12-25-2008 |
20080319660 | LANDMARK-BASED ROUTING - Driving directions can be helpful if in addition to spatial information, landmark information is provided. Landmarks assist in adding context to directions as well as allowing for a greater likelihood of success of an operator following directions. There can be employment of physical identification of landmarks as well as processing regarding the utility of a landmark in regards to driving directions. Driving directions can be highly useful if integrated landmarks relate to knowledge possessed by an operator of a vehicle. Landmark based driving direction can be integrated with advertisements that relate to the directions. | 12-25-2008 |
20080319727 | SELECTIVE SAMPLING OF USER STATE BASED ON EXPECTED UTILITY - Model enhancement architecture that provides selective sampling of data to enhance model performance where model testing is deemed to be poor. Sampling can include direct interaction with the user while the user is logged-in to the computing system. The system can be used to infer a computer user's current interruptability based on computer activity and relevant contextual information. Personalized models can then be created that are utilized to determine a cost of interruption and an expected utility. A modeling component is provided that builds and runs models based on data. The data can be any type of data such as application data, user profile data, tracking data, user state data, user situation data, and so on. A sampling component samples the data based on failure analysis of the model. The architecture is a utility-centric approach to gathering data to maximally enhance the current model. | 12-25-2008 |
20080320087 | SWARM SENSING AND ACTUATING - Sensing information from a multitude of remote sources can provide a user with a vast amount of information as well as a better granularity of the information. A user can also actuate or move remote sources to obtain the desired information or more information and/or to expend energy in a remote location with one or more of the remote sources. Thus, a swarm or large group of devices, sensors, actuators, equipment, and so on can be utilized to provide a user with a desired action. | 12-25-2008 |
20090002148 | LEARNING AND REASONING ABOUT THE CONTEXT-SENSITIVE RELIABILITY OF SENSORS - A sensor monitoring system is described that identifies inaccurate or degraded sensor data and corresponding sensors. The system analyzes a plurality of sensors to determine reliable sensors and isolate or reinterpret unreliable sensor data. An analysis component analyzes a traffic representation that varies as context varies and determines the probability that current sensor data is invalid. Learning and reasoning are performed from a case library of sensor failure data to build predictive models of sensor health that can provide inferences about the output of sensors. Resulting inferences about sensor reliability can be employed in base-level inferences and predictions about traffic flow. | 01-01-2009 |
20090002195 | SENSING AND PREDICTING FLOW VARIANCE IN A TRAFFIC SYSTEM FOR TRAFFIC ROUTING AND SENSING - Methods for decision making about sensor location/configuration for traffic sensing and routing are described. Construction of predictive models via machine learning that infer variance of road speeds, in general or for specific contexts (e.g., rush hours for a traffic system) occurs. The predictive models for road reliability are built from libraries of data about sensed variances and road segments. The datasets include information for road segments monitored by fixed sensors/moving probes, road segment properties, geometric relationships among road segments, and proximal resources. Road segments are labeled by the sensed variance seen in traffic speeds over similar contexts. A model is created that can apply estimates of the variance of the traffic speed for a segment, including non-sensed segments via generalization to non-sensed road segments. Methods are described for employing the predictive models of variance, along with demand and propagation models, to make decisions about configuration of sensors. | 01-01-2009 |
20090003201 | HARNESSING PREDICTIVE MODELS OF DURATIONS OF CHANNEL AVAILABILITY FOR ENHANCED OPPORTUNISTIC ALLOCATION OF RADIO SPECTRUM - A proactive adaptive radio methodology for the opportunistic allocation of radio spectrum is described. The methods can be used to allocate radio spectrum resources by employing machine learning to learn models, via accruing data over time, that have the ability to predict the context-sensitive durations of the availability of channels. The predictive models are combined with decision-theoretic cost-benefit analyses to minimize disruptions of service or quality that can be associated with reactive allocation policies. Rather than reacting to losses of channel, the proactive policies seek switches in advance of the loss of a channel. Beyond determining durations of availability for one or more frequency bands statistical machine learning also be employed to generate price predictions in order to facilitate a sale or rental of the available frequencies, and these predictions can be employed in the switching analyses The methods can be employed in non-cooperating distributed models of allocation, in centralized allocation approaches, and in hybrid spectrum allocation scenarios. | 01-01-2009 |
20090006085 | AUTOMATED CALL CLASSIFICATION AND PRIORITIZATION - An automated voice message or caller prioritization system that extracts words, prosody, and/or metadata from a voice input. The data extracted is classified with a statistical classifier into groups of interest. These groups could indicate the likelihood that a call is urgent versus nonurgent, from someone the user knows well versus someone that the user only knows casually or not at all, from someone using a mobile phone versus a landline, or a business call versus a personal calls. The system then can determine an action based on results of the groups, including the display of likely category labels on the message. Call handling and display actions can be defined by user preferences. | 01-01-2009 |
20090006297 | OPEN-WORLD MODELING - The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models. | 01-01-2009 |
20090006574 | SYSTEM AND METHODS FOR DISRUPTION DETECTION, MANAGEMENT, AND RECOVERY - A task disruption and recovery system and methods are described that detects shifts away from ongoing tasks, whether by self-interruption or by disruptive events from within or outside a computing system, based on signals detected. Among other functions, the system works to enhance the efficient recovery of suspended tasks or problem-solving sessions via storing and presenting representations of the suspended sessions in a manner that facilitates recovery and continuation. | 01-01-2009 |
20090006694 | MULTI-TASKING INTERFERENCE MODEL - The subject disclosure pertains to a multi-tasking interference system. A gatekeeper receives primary and secondary inputs, and a quantifier ascertains attention values associated with primary inputs and interruption values associated with secondary inputs. Attention values are ascertained based on attributes associated with primary inputs such as type or genre of media presentation, temporal location within media presentation, or a likelihood of impending commercials. Based on a comparison between attention values and interruption values the gatekeeper determines whether, when, and how to interrupt the primary input with the secondary input and accordingly thereafter interrupts the primary input with the secondary input based on the foregoing assessment. | 01-01-2009 |
20090019091 | TRAINING, INFERENCE AND USER INTERFACE FOR GUIDING THE CACHING OF MEDIA CONTENT ON LOCAL STORES - The present invention is related to a system and method of caching data employing probabilistic predictive techniques. The system and method has particular application to multimedia systems for providing local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment (e.g., early morning, late morning, early afternoon, late afternoon, primetime, late night) and/or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item. A selections value may be reduced as the selection ages because a user is less likely to view the selection over time. Additionally, a value of a selection may change based on changes on a user's viewing habits, changes in time segments or a user's modification of the cache retention policies. | 01-15-2009 |
20090030857 | MULTIATTRIBUTE SPECIFICATION OF PREFERENCES ABOUT PEOPLE, PRIORITIES, AND PRIVACY FOR GUIDING MESSAGING AND COMMUNICATIONS - The present invention relates to a system and methodology to facilitate multiattribute adjustments and control associated with messages and other communications and informational items that are directed to a user via automated systems. An interface, specification language, and controls are provided for defining a plurality of variously configured groups that may attempt to communicate respective items. Controls include the specification of priorities and preferences as well as the modification of priorities and preferences that have been learned from training sets via machine learning methods. The system provides both a means for assessing parameters used in the control of messaging and communications and for the inspection and modification of parameters that have been learned autonomously. | 01-29-2009 |
20090037398 | SYSTEM AND METHODS FOR INFERRING INFORMATIONAL GOALS AND PREFERRED LEVEL OF DETAIL OF ANSWERS - A system and method for inferring informational goals and preferred level of details in answers in response to questions posed to computer-based information retrieval or question-answering systems is provided. The system includes a query subsystem that can receive an input query and extrinsic data associated with the query and which can output an answer to the query, and/or rephrased queries or sample queries. The query subsystem accesses an inference model to retrieve conditional probabilities that certain informational goals are present. One application of the system includes determining a user's likely informational goals and then accessing a knowledge data store to retrieve responsive information. The system includes a natural language processor that parses queries into observable linguistic features and embedded semantic components that can be employed to retrieve the conditional probabilities from the inference model. The inference model is built by employing supervised learning and statistical analysis on a set of queries suitable to be presented to a question-answering system. Such a set of queries can be manipulated to produce different inference models based on demographic and/or localized linguistic data. | 02-05-2009 |
20090063990 | COLLABORATIVE SEARCH INTERFACE - Systems and methods that enable collaboration among users on a process for information seeking and review. A collaborative search user interface can enable division of tasks among users to mitigate undesired duplication efforts (e.g., parallelize the tasks). Moreover, attribution information associated with the search process/result for each user can be tracked, and users can opine on the search process. Accordingly, both the process and the product of the search can be performed in a collaborative manner. | 03-05-2009 |
20090064018 | EXPLODED VIEWS FOR PROVIDING RICH REGULARIZED GEOMETRIC TRANSFORMATIONS AND INTERACTION MODELS ON CONTENT FOR VIEWING, PREVIEWING, AND INTERACTING WITH DOCUMENTS, PROJECTS, AND TASKS - The present invention relates to a system and method to facilitate efficient and automated presentation of information to users. A decomposition component automatically decomposes an information item into sets of subcomponents in a two- or three-dimensional isometric space, and generates visualizations having interactive graphics that allow users to inspect respective subcomponents. Interface features are provided to enable hover, dwell, and clicking commands, for example, providing a variety of options to zoom in, or change configurations of the visualization in accordance with the users intentions or inferences about what they desire to see or inspect more closely. Beyond the use of decompositions into exploded views of the content of items typically viewed as singular documents, the methods can be applied to perform geometric transformations on visualizations of multiple windows and other resources based on content and activity to provide regularized visualizations of the multiple items. Such exploded views can provide visual geometric summaries of projects, and a set of handles into accessing more detail on the subcomponents of the project. | 03-05-2009 |
20090064024 | EXPLODED VIEWS FOR PROVIDING RICH REGULARIZED GEOMETRIC TRANSFORMATIONS AND INTERACTION MODELS ON CONTENT FOR VIEWING, PREVIEWING, AND INTERACTING WITH DOCUMENTS, PROJECTS, AND TASKS - The present invention relates to a system and method to facilitate efficient and automated presentation of information to users. A decomposition component automatically decomposes an information item into sets of subcomponents in a two- or three-dimensional isometric space, and generates visualizations having interactive graphics that allow users to inspect respective subcomponents. Interface features are provided to enable hover, dwell, and clicking commands, for example, providing a variety of options to zoom in, or change configurations of the visualization in accordance with the users intentions or inferences about what they desire to see or inspect more closely. Beyond the use of decompositions into exploded views of the content of items typically viewed as singular documents, the methods can be applied to perform geometric transformations on visualizations of multiple windows and other resources based on content and activity to provide regularized visualizations of the multiple items. Such exploded views can provide visual geometric summaries of projects, and a set of handles into accessing more detail on the subcomponents of the project. | 03-05-2009 |
20090088726 | SYMBIOTIC BIOLOGICAL SYSTEMS AS PLATFORMS FOR SENSING, PRODUCTION, AND INTERVENTION - Provided are systems and/or methods that facilitate sensing, detecting, or treatment of a condition or need of a living body using a genetically engineered symbiotic agent. | 04-02-2009 |
20090094105 | CONTENT EMBEDDED TOOLTIP ADVERTISING - Contextual advertisements embedded within content having tooltip type display functionality are provided where content can be evaluated for possible points for insertion of the advertisements. The content can be evaluated against a list of trigger points indicating advertisement should be inserted along with instructions to embed the advertisements. Using this information, the content can be modified to embed appropriate advertising. Upon returning the content, a viewer thereof can view the content normally, but certain events with respect to the trigger points can cause tooltip type display of the advertisement (such as hovering a cursor over the trigger point). In this regard, trigger points, such as keywords, having associated pop-up advertisements can be underlined or otherwise identified. | 04-09-2009 |
20090094260 | IMAGE-BASED WISH LIST POPULATION - Wish list creation and population is provided where users can associate one or more images as items in a wish list. To this end, an image can be provided, such as a photograph taken by the user, and analyzed to locate matching items and information related thereto. In this regard, the user can observe and desire to purchase an item without knowledge of specifics about the item. The user can then take a picture of the item and tag the picture for upload to their wish list. Matching can be provided to identify one or more items in the picture to facilitate retrieval of information related to the items. Also, items can be selected based on discerned characteristics of the picture in a design/fashion consultant context. | 04-09-2009 |
20090099992 | BOUNDED-DEFERRAL POLICIES FOR GUIDING THE TIMING OF ALERTING, INTERACTION AND COMMUNICATIONS USING LOCAL SENSORY INFORMATION - The present invention relates to a system and method to facilitate communications of important messages, communications, or interactions. Policies are introduced that consider a user's current situation, including the cost of interrupting the user, or directly sensed surrogates for such a cost, and decide on a suitable time, within a deadline for delivering the information or establishing a communication. Deadlines for delivery are determined based on the urgency of the information that is inferred or detected from the message sender, type, and content. If a suitable context is not detected within a deadline, the information is delivered at the deadline. If it is determined that a suitable context will not achieved within a deadline, the information is transmitted immediately. Suitable contexts for delivery can be determined via the use of one or more sensors on or near endpoint devices, including accelerometers, microphones, touch sensing, and gaze and head pose detection. Other information, including appointment status as indicated on a user's calendar, the time of day, and previously assessed patterns of availability can be employed in decisions about the deferral of alerts. Endpoint sensors, calendar information, and patterns of availability also may used to identify the likelihood that information will be received at a device. Such information can be passed back directly or in a summary form as the likelihood of transmission success to a central notification manager or used locally in decisions about the salience and repetition of alerting. | 04-16-2009 |
20090137924 | METHOD AND SYSTEM FOR MESHING HUMAN AND COMPUTER COMPETENCIES FOR OBJECT CATEGORIZATION - The subject disclosure relates to a method and system for visual object categorization. The method and system include receiving human inputs including data corresponding to passive human-brain responses to visualization of images. Computer inputs are also received which include data corresponding to outputs from a computerized vision-based processing of the images. The human and computer inputs are processing so as to yield a categorization for the images as a function of the human and computer inputs. | 05-28-2009 |
20090164236 | SMARTER SCHEDULING FOR MEDICAL FACILITIES AND PHYSICIANS - The claimed subject matter provides a system and/or a method that facilitates scheduling an incoming patient appointment for a medical facility. A medical facility can provide healthcare to a patient, wherein the medical facility can utilize a schedule with an available time slot to assign an appointment to a patient. A match component can evaluate a portion of transportation data to select a patient to which an appointment on the schedule is allotted. A dynamic schedule component can automatically adjust the schedule based upon the evaluation. | 06-25-2009 |
20090192966 | COST-BENEFIT APPROACH TO AUTOMATICALLY COMPOSING ANSWERS TO QUESTIONS BY EXTRACTING INFORMATION FROM LARGE UNSTRUCTURED CORPORA - The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers. | 07-30-2009 |
20090198733 | HEALTHCARE RESOURCE LOCATOR - The claimed subject matter provides a system and/or a method that facilitates identifying a medical facility for an emergency medical situation. An interface can receive a portion of data related to an emergency medical incident and a corresponding location. A match component can evaluate the portion of data to select a medical facility in which to transport a patient involved in the emergency medical incident, wherein the medical facility can be ascertained based on a distance between the location of the emergency medical incident and a location for the selected medical facility and traffic related to a route there between. | 08-06-2009 |
20090210276 | AD HOC AND OPPORTUNISTIC TRANSPORTATION SERVICES - Individuals can be organized into travel groups in plans constructed in advance or in real-time to save resources and travel in an efficient manner. Multi-segment trips between starting points and destinations can be constructed with several vehicles, including private, public, and commercial transportation assets. Numerous requests for real-time or planned recurrent commutes by a population of users can be considered in a larger analysis that seeks to optimize one or more attributes such as vehicle usage and/or greenhouse emissions. Data concerning multiple related individuals can be gathered and analyzed—based upon the analysis, a determination can be made if it is logical to group individuals together such that they physically travel together. A transportation asset provider and/or individuals can be offered a reward to become part of the travel group and/or to perform specific tasks related to the travel group, such as using a vehicle with a certain fuel type. | 08-20-2009 |
20090265242 | PRIVACY-CENTRIC AD MODELS THAT LEVERAGE SOCIAL GRAPHS - The claimed subject matter relates to an architecture that can mitigate privacy concerns in connection with ad targeting or data collection. In particular, architecture can be included in a personal mobile communication device such as a cell phone. During communication transactions between the host device and a peer device, shared information can be extracted either from content included in the communication or from metadata. Based upon the shared information, a social graph maintained on the host device can be updated. In addition, the host device can receive a large set of ads and select or tailor a custom ad from the set based upon the social graph. | 10-22-2009 |
20090271104 | COLLABORATIVE ROUTE PLANNING FOR GENERATING PERSONALIZED AND CONTEXT-SENSITIVE ROUTING RECOMMENDATIONS - A route-planning system is described that leverages a database of observations about routes taken by drivers in a region to generate context and/or preference sensitive routes. Contextual information such as time of day and day of week, along with such findings as the observed velocities on different roads and the efficiency of trips is noted from the database of trips to inform a route generation component. The route-generation component considers velocities, contextual information, and other findings to compute preferred routes for people requesting directions from a first geographical point to a second geographical point. In one usage, properties of a driver's own prior routes are used to generate personalized routes, including routes between previously unobserved starting and ending locations. In another application, sets of observed routes of other drivers are used in a collaborative manner to generate recommended routes for a specific driver based on inferred preferences of the driver. | 10-29-2009 |
20090299934 | HARNESSING INFORMATION ABOUT THE TIMING OF A USER'S CLIENT-SERVER INTERACTIONS TO ENHANCE MESSAGING AND COLLABORATION SERVICES - A system and method is provided to facilitate communication and collaboration by considering the timing of a user's activities on one or more clients via accessing, from a centralized server, information about the user's client-server interactions. The systems and methods can harness existing protocols and data exchange used in legacy client-server applications for email, making available to one or more client-side message routing applications, information about a user's interactions with email across multiple clients. Applications include considering the time since the last client-server interaction to guide decisions about if, when, and how to route messages so as to limit the mobile relay of information a user has already seen, providing information to colleagues about a user's current or past “inbox presence,” and forecasting the time until a user will have access to a device or communication channel. | 12-03-2009 |
20090309891 | AVATAR INDIVIDUALIZED BY PHYSICAL CHARACTERISTIC - An avatar generator for a virtual environment reflects a physiological characteristic of the user, injecting a degree of reality into the capabilities or appearance. Thereby, many of the incentives of the real world are replicated in a virtual environment. Physiological data that reflect a degree of health of the real person can be linked to rewards of capabilities of a gaming avatar, an amount of time budgeted to play, or a visible indication. Thereby, people are encouraged to exercise. Physiological data that reflect the health and perhaps also mood also improve social interaction in virtual environments. People seeking to meet and become acquainted with particular types of people are not thwarted by the artificiality of avatars. The physiological data can be gleaned from a third party health data collection repository, a healthcare smart card, a real-time physiological sensor (e.g., blood pressure, heart rate, blood glucose, peak flow, pedometer, etc.) | 12-17-2009 |
20090313235 | SOCIAL NETWORKS SERVICE - A social network service provides trusted, timely and managed communications between a querying individual and an informed individual by optimizing distribution of queries to reflect a requisite amount of expertise necessary (i.e., interest, background, education, demographic attribute, etc.). Those candidate recipients with a rare level of expertise or specialization can specify a desired level of participation, which is respected. In order not to exhaust their availability, those who are less qualified or part of a larger demographic category appropriate for the query are selected to handle queries of lesser difficulty or less specialization. Anonymity if desired by the recipient party can be supported by increasing the pool of candidate recipients so that the querying party cannot reasonably ascertain who is responding. Timeliness of response, as well as satisfaction in the response, is tracked in order to affect redirection of a query. | 12-17-2009 |
20090326339 | CONNECTED HEALTHCARE DEVICES WITH REAL-TIME AND PROACTIVE CAPTURE AND RELAY OF CONTEXTUAL INFORMATION - A portable healthcare device is connected to a networked healthcare service to form a connected healthcare system that is configurable to address a particular predicted or emergent healthcare condition or provisioned to address a number of emergent healthcare conditions. A portable sensor detects the predicted or emergent healthcare condition. A two-way communication channel provides instructions to the affected person or those in proximity, takes remote control of the portable healthcare device to deliver a therapeutic intervention, or facilitates a rendezvous with dispatched first responders. A buffered quantity of data that is recorded proactively can be transmitted in order to make a more accurate remote diagnosis. The remote, networked healthcare service can maintain additional information about the device or a person assigned to the device to augment the transmission, including healthcare records, contact information, configuration type of the device including therapeutic capabilities, service billing, facility location of an assigned device, etc. | 12-31-2009 |
20090326791 | LOCAL DECISION POLICIES ABOUT THE SHARING OF SENSED DATA THAT ENHANCE PRIVACY AND LOWER COMMUNICATION COSTS FOR SERVICES THAT AGGREGATE DATA FROM PERSONAL DEVICES - Velocity information can be beneficial to various entities including other vehicles and a central traffic monitoring and routing system. Vehicles with sensors can serve as velocity probes to update speeds that are shared via a more global service. However, individuals may be reluctant to provide location and velocity information given privacy preferences. Local policies about sharing personal data are described that can be harnessed to enhance privacy while minimizing communication costs. The local data-sharing policies allow devices to monitor their own speeds and locations and to employ models and analyses that determine the value of sharing flow information with a larger service in accordance with privacy preferences, and to make local decisions as to when to respond to broadcasted queries for specific information, while minimizing the redundancy of signals from multiple vehicles. | 12-31-2009 |
20090326981 | UNIVERSAL HEALTH DATA COLLECTOR AND ADVISOR FOR PEOPLE - The claimed subject matter provides a system and/or a method that facilitates collecting a portion of health data from a collection of users. An interface component can receive health data communicated from a collection of users, wherein each user within the collection is associated with a respective portion of health data. A verification component can authenticate at least one of a transmission source of the portion of health data, an ownership between a portion of health data and a user, an integrity level associated with the portion of health data, or a user submitting the portion of health data. A collection component can aggregate authenticated health data into a semantic data store in which the health data is indicative of a raw and unmolested source of health information from the collection of users. The collection component can further organize the health data to facilitate identification of a medical related trend. | 12-31-2009 |
20090327270 | Using Variation in User Interest to Enhance the Search Experience - Searches can be enhanced by custom-tailoring results based on a consideration of the variability of the goals of a search given a query. In an example embodiment, a system to enhance searching includes a search interface, a search-goal variability determiner, and a search experience enhancer. The search interface accepts a query from a user as input for a search. The variability determiner determines the variability in user interest (e.g., goals) for the query. The measure of variability in user interest may reflect the degree of variation in the goals of different users or groups of users for the query. The search experience enhancer enhances a search experience for the user responsive to the variability in user interest (e.g., in terms of search goals). | 12-31-2009 |
20100053154 | METHODS FOR AUTOMATED AND SEMIAUTOMATED COMPOSITION OF VISUAL SEQUENCES, FLOWS, AND FLYOVERS BASED ON CONTENT AND CONTEXT - A system with the ability to dynamically compose a sequence of visual views or flows allowing a single object or region, or multiple objects or regions, to be viewed from different perspectives and visual distances is described. The sequence of views can provide smooth flyovers over positions and details on objects that are deemed to be of interest, with changes in zoom level and/or velocity that are functions of the estimated complexity and/or unfamiliarity with features of the object. In an example, a flyover displaying different views on a map of a city arterial system on a small-screened mobile device is composed based on current traffic conditions, swooping up and down with parabolic trajectories, based on distances being traversed, and pausing at times over key traffic jams and other findings of interest based on the estimated visual complexity and predicted atypicality of situations. | 03-04-2010 |
20100075639 | COMPUTING AND HARNESSING INFERENCES ABOUT THE TIMING, DURATION, AND NATURE OF MOTION AND CESSATION OF MOTION WITH APPLICATIONS TO MOBILE COMPUTING AND COMMUNICATIONS - An information delivery system comprises a receiver component that receives information about the movement, velocity, acceleration, and/or locations over time of a user. A computation component using a predictive model generates a probability distribution relating to one or more of when the user will next be stopped, how long the user will be stopped, how long a pattern of motion, such as walking, driving in stop and go traffic, and smooth highway motion will last, based at least in part upon signals about motion over time. The system can further comprise an alerting component that determines when to provide the user with information based at least in part upon the probability distribution over some aspect of motion or cessation of motion, and optionally the content, or tagged or inferred urgency or importance, of a message or communication. | 03-25-2010 |
20100076765 | STRUCTURED MODELS OF REPITITION FOR SPEECH RECOGNITION - Described is a technology by which a structured model of repetition is used to determine the words spoken by a user, and/or a corresponding database entry, based in part on a prior utterance. For a repeated utterance, a joint probability analysis is performed on (at least some of) the corresponding word sequences as recognized by one or more recognizers) and associated acoustic data. For example, a generative probabilistic model, or a maximum entropy model may be used in the analysis. The second utterance may be a repetition of the first utterance using the exact words, or another structural transformation thereof relative to the first utterance, such as an extension that adds one or more words, a truncation that removes one or more words, or a whole or partial spelling of one or more words. | 03-25-2010 |
20100113983 | UTILIZING ULTRASOUND TO DISRUPT PATHOGENS - Provided are systems and/or methods that treat illnesses and conditions using ultrasound tuned to a resonant frequency of a target material with the assistance of computer processing. The ultrasound tuned to the resonance frequency of a target material destroys the target material without harming healthy material that surrounds the target material. A resonance frequency database can be employed to ensure that local healthy material surrounding a target has a natural resonance frequency dissimilar enough from the tuned resonance frequency. | 05-06-2010 |
20100149090 | GESTURES, INTERACTIONS, AND COMMON GROUND IN A SURFACE COMPUTING ENVIRONMENT - Aspects relate to detecting gestures that relate to a desired action, wherein the detected gestures are common across users and/or devices within a surface computing environment. Inferred intentions and goals based on context, history, affordances, and objects are employed to interpret gestures. Where there is uncertainty in intention of the gestures for a single device or across multiple devices, independent or coordinated communication of uncertainty or engagement of users through signaling and/or information gathering can occur. | 06-17-2010 |
20100185388 | COMPUTATION OF TRAVEL ROUTES, DURATIONS, AND PLANS OVER MULTIPLE CONTEXTS - A route planning system comprises a receiver component that receives a request for directions between a beginning point and a destination point. An analysis component analyzes a traffic system representation that varies as context varies and outputs expected amounts of travel time between the beginning point and the destination point for multiple contexts based at least in part upon the analysis. A method is described herein that includes techniques for searching over routes and trip start times simultaneously so as to identity start times and routes associated with maximal expected value, or equivalently minimum expected cost, given preferences encoded about one or more of the leaving time, the travel time, and the arrival time. | 07-22-2010 |
20100269051 | STATISTICAL MODELS AND METHODS TO SUPPORT THE PERSONALIZATION OF APPLICATIONS AND SERVICES VIA CONSIDERATION OF PREFERENCE ENCODINGS OF A COMMUNITY OF USERS - A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort. | 10-21-2010 |
20100332242 | COLLABORATIVE PLAN GENERATION BASED ON VARYING PREFERENCES AND CONSTRAINTS - Embodiments for generating and implementing collaborative plans that achieve goals for sets of individual agents based on a consideration of individual and group preferences are disclosed. In accordance with at least one embodiment, a collaborative mechanism includes receiving individual plan preferences of agents via one or more client devices and modeling agent costs based on the received individual plan preferences. One or more collaborative plans are then be generated based on the modeled agent costs and one or more agents may be grouped into each collaborative plan. The one or more generated collaborative plans are provided to the agents via the one or more client devices for implementation. Finally, payments are distributed among the agents to compensate at least one agent for participation in one of the generated collaborative plans. | 12-30-2010 |
20100332262 | CLOUD COMPUTING RESOURCE BROKER - Embodiments for interacting with cloud computing providers are disclosed. In accordance with at least one embodiment, a resource broker receives a request for a computing task that is to be performed from a customer. The resource broker selects one of the cloud computing providers to perform at least a part of the computing task. In turn, the resource broker may obtain a gain from performance of the at least one part of the computing task by the cloud computing provider. | 12-30-2010 |
20100332876 | REDUCING POWER CONSUMPTION OF COMPUTING DEVICES BY FORECASTING COMPUTING PERFORMANCE NEEDS - Techniques and systems are provided that work to minimize the energy usage of computing devices by building and using models that predict the future work required of one or more components of a computing system, based on observations, and using such forecasts in a decision analysis that weighs the costs and benefits of transitioning components to a lower power and performance state. Predictive models can be generated by machine learning methods from libraries of data collected about the future performance requirements on components, given current and recent observations. The models may be used to predict in an ongoing manner the future performance requirements of a computing device from cues. In various aspects, models that predict performance requirements that take into consideration the latency preferences and tolerances of users are used in cost-benefit analyses that guide powering decisions. | 12-30-2010 |
20100333105 | PRECOMPUTATION FOR DATA CENTER LOAD BALANCING - Pre-computing a portion of forecasted workloads may enable load-balancing of data center workload, which may ultimately reduce capital and operational costs associated with data centers. Computing tasks performed by the data centers may be analyzed to identify computing tasks that are eligible for pre-computing, and may be performed prior to an actual data request from a user or entity. In some aspects, the pre-computing tasks may be performed during a low-volume workload period prior to a high-volume workload period to reduce peaks that typically occur in data center workloads that do not utilize pre-computation. Statistical modeling methods can be used to make predictions about the tasks that can be expected to maximally contribute to bottlenecks at data centers and to guide the speculative computing. | 12-30-2010 |
20110010782 | ADAPTING PARASITES TO COMBAT DISEASE - Provided are systems and/or methods that facilitate sensing, detecting, logging, or treatment of a condition or need of a living body using a controlled parasite. | 01-13-2011 |
20110071964 | BUILDING AND USING PREDICTIVE MODELS OF CURRENT AND FUTURE SURPRISES - Methods are described for identifying events that would be considered surprising by people and identifying how and when to transmit information to a user about situations that they would likely find surprising. Additionally, the methods of identifying surprising situations can be used to build a case library of surprising events, joined with a set of observations before the surprising events occurred. Statistical machine learning methods can be applied with data from the case library to build models that can predict when a user will likely be surprised at future times. One or more models of context-sensitive expectations of people, a view of the current world, and methods for recording streams or events before surprises occur, and for building predictive models from a case library of surprises and such historical observations can be employed. The models of current and future surprises can be coupled with display and alerting machinery. | 03-24-2011 |
20110161276 | INTEGRATION OF LOCATION LOGS, GPS SIGNALS, AND SPATIAL RESOURCES FOR IDENTIFYING USER ACTIVITIES, GOALS, AND CONTEXT - Described are methods that utilize a geographic location technology (e.g., GPS) to determine user location data, and existing network-based websites (e.g., Internet websites) for searching and accessing data related to the location data such that the user context can be developed and stored. A location component is provided that determines location data of a wireless communications device of a user. A context component is provided that accesses context data based on the location data to define a context in which the device is located. Activities, goals, and overall context of a user can be inferred through statistical fusion of multiple sources of evidence. The context data is presented to the user via the wireless device such that the user can make decisions as to where to go, for example. User preferences can be accessed and applied to filter context data according to what the user desires to see and access. | 06-30-2011 |
20110167053 | VISUAL AND MULTI-DIMENSIONAL SEARCH - A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items. | 07-07-2011 |
20110238829 | ANONYMOUS AND SECURE NETWORK-BASED INTERACTION - The subject disclosure pertains to anonymous network interaction. More specifically, mechanisms are provided to ensure anonymity with respect network interaction such that third parties are unable to determine the source and/or intent of communications. Accordingly, entities may anonymize all outgoing and/or incoming data packets so as to mitigate outside entities from learning about information being sought and/or provided. For example, a user or corporation may employ an anonymizer with respect to web searching so that outside entities are not able to determine what information is attempted to be accessed and by whom. | 09-29-2011 |
20110251980 | Interactive Optimization of the Behavior of a System - An interactive tool is described for modifying the behavior of a system, such as, but not limited to, the behavior of a classification system. The tool uses an interface mechanism to present a current global state of the system. The tool accepts one or more refinements to this global state, e.g., by accepting individual changes to parameter settings that are presented by the interface mechanism. Based on this input, the tool computes and displays the global implications of the updated parameter settings. The process of iterating over one or more cycles of user updates, followed by computation and display of the implications of the attempted refinements, has the effect of advancing the system towards a global state that exhibits desirable behavior. | 10-13-2011 |
20110252011 | Integrating a Search Service with a Social Network Resource - A system is described for integrating a search engine and one or more social network resources. The system operates by determining whether a search operation being conducted by a user warrants interaction with a social network resource. If so, the system may provide an invitation to the user to forward a query-related message to the social network resource. The system then sends the message to a group of contacts via the social network resource, where the group of contacts can be defined in various ways. The system receives a response from at least one contact in the group of contacts and presents that response to the user using various delivery mechanisms, as governed by various delivery timings. | 10-13-2011 |
20110282571 | METHODS FOR PREDICTING DESTINATIONS FROM PARTIAL TRAJECTORIES EMPLOYING OPEN- AND CLOSED-WORLD MODELING METHODS - The claimed subject matter provides systems and/or methods that facilitate inferring probability distributions over the destinations and/or routes of a user, from observations about context and partial trajectories of a trip. Destinations of a trip are based on at least one of a prior and a likelihood based at least in part on the received input data. The destination estimator component can use one or more of a personal destinations prior, time of day and day of week, a ground cover prior, driving efficiency associated with candidate locations, and a trip time likelihood to probabilistically predict the destination. In addition, data gathered from a population about the likelihood of visiting previously unvisited locations and the spatial configuration of such locations may be used to enhance the predictions of destinations and routes. | 11-17-2011 |
20110282954 | Content Presentation Based On User Preferences - Architecture is provided that facilitates user-controlled access to user profile information. A user is allowed to selectively expose (or mask) portions of his/her profile to third parties. Additionally, advertisers and/or content providers can offer incentives or enticement in response to the acceptance of which a user exposes larger portions of their profile. The architecture comprises a system that facilitates profile management utilizing a profile component that facilitates creation and storage of an electronic profile of a user, and a control component under control of the user for controlling access to the profile. Machine learning and reasoning is provided to make inferences and automate aspects thereof. | 11-17-2011 |
20110288839 | OPEN-WORLD MODELING - The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models. | 11-24-2011 |
20110313648 | Probabilistic Map Matching From A Plurality Of Observational And Contextual Factors - Systems, methods, and devices are described for implementing map matching techniques relating to measured location data. Probabilistic models, including temporal Bayesian network models and Hidden Markov Models, may be used for combining multiple classes of evidence relating to potential locations of points traversed on routes over time. Multiple route segments and overall routes may be maintained under relative uncertainty as candidates. The candidate route segments and overall routes may then be reduced into a smaller number of candidates or a single most likely route as a trip progresses. As the trip progresses, route segments in proximity to each location point are identified and candidate matches are determined. A probability of an entity traversing a candidate match at a given time and a probability of an entity traversing between a first candidate match at a first time and a second candidate match at a second time are determined based on a plurality of factors. Different modalities may be used to measure and transmit the location data. | 12-22-2011 |
20120005132 | PREDICTING ESCALATION EVENTS DURING INFORMATION SEARCHING AND BROWSING - One or more techniques and/or systems are disclosed for predicting escalations in users' goals or concerns in web-based searching and browsing. One or more escalation features are extracted from a webpage. The one or more escalation features are run through a classifier trained to estimate a likelihood of escalation. An escalation likelihood result is generated from running the trained classifier using the extracted features. The escalation likelihood result can comprise an estimation that a subsequent search query will comprise an escalation when compared to a previous search query. The escalation likelihood result can also comprise an estimation that a subsequent webpage selection will comprise an escalation when compared to a previous webpage selection. | 01-05-2012 |
20120089322 | COMPUTATION OF TRAVEL ROUTES, DURATIONS, AND PLANS OVER MULTIPLE CONTEXTS - A route planning system comprises a receiver component that receives a request for directions between a beginning point and a destination point. An analysis component analyzes a traffic system representation that varies as context varies and outputs expected amounts of travel time between the beginning point and the destination point for multiple contexts based at least in part upon the analysis. A method is described herein that includes techniques for searching over routes and trip start times simultaneously so as to identity start times and routes associated with maximal expected value, or equivalently minimum expected cost, given preferences encoded about one or more of the leaving time, the travel time, and the arrival time. | 04-12-2012 |
20120130820 | PROVIDING ALTERNATIVE CONTENT IN A WINDOWED ENVIRONMENT - Embodiments of the invention relate to an architecture or extension to a window manager. In particular, the extension can provide for a window rotation feature that can be exposed as a rotate button. Additionally or alternatively, the rotation feature can be activated based upon a diverse set of conditions, events, and/or commands. Upon activation of the rotation feature, the window manager can rotate a window about an axis to expose a secondary surface that can be populated with alternative content that is distinct from the content of the primary surface of the window. In addition, the architecture provides techniques for identifying both double-sided graphical objects and potentially double-sided objects. | 05-24-2012 |
20120222132 | Permissions Based on Behavioral Patterns - Users may choose to have their behavior analyzed in order to infer default sharing permission settings for documents and other information maintained in one or more computer systems. This may increase information security for the users and streamline implementation of privacy and/or sharing permissions. The default sharing permissions are implemented by a computer system as soft permissions that may be used to determine which documents are to be shared with which recipients. The soft permissions may address sharing situations for which a user has not expressly indicated his or her sharing rules. The soft permissions may change over time in response to changing user behavior and/or the soft permissions may be revised in light of user feedback. | 08-30-2012 |
20120262582 | Conduct and Context Relationships In Mobile Devices - Described herein is a technique for customizing device behavior based on evaluated relationships between a user and the user's environment. User conduct is analyzed based on available sensors, which may include user-facing cameras. The user's environmental context is similarly evaluated based on the available sensors. Conduct and context, as well as any identified relationships between such conduct and context, may be reported to application programs, and may form the basis for customized device behavior. | 10-18-2012 |
20120265433 | SUGGESTIVE MAPPING - A suggestive mapping device may predict, suggest, and/or provide potential destinations to a user. Additionally, the device may store historical location data of the user, determine a travel vector of the user, and predict the destination of the user based at least in part on the historical location data and/or the travel vector. Further, the device may provide hands-free maps to destinations when the user does not know the address at least by receiving contextual data of the user and/or contextual data of the user's contacts. Such hands-free, suggestive mapping devices may facilitate more effective navigation. | 10-18-2012 |
20120268489 | PROVIDING ALTERNATIVE CONTENT IN A WINDOWED ENVIRONMENT - Embodiments of the invention relate to an architecture or extension to a window manager. In particular, the extension can provide for a window rotation feature that can be exposed as a rotate button. Additionally or alternatively, the rotation feature can be activated based upon a diverse set of conditions, events, and/or commands. Upon activation of the rotation feature, the window manager can rotate a window about an axis to expose a secondary surface that can be populated with alternative content that is distinct from the content of the primary surface of the window. In addition, the architecture provides techniques for identifying both double-sided graphical objects and potentially double-sided objects. | 10-25-2012 |
20120290973 | SYSTEM AND METHOD THAT FACILITATES COMPUTER DESKTOP USE VIA SCALING OF DISPLAYED OBJECTS - The techniques described herein provide user interface(s) for managing display objects on a display surface. The techniques define a central focus area where the display objects are displayed and behave as usual, and a periphery outside the focus area where the display objects are reduced in size based on their location, getting smaller as they near an edge of the display surface so that many more objects can remain visible. | 11-15-2012 |
20130091128 | Time-Aware Ranking Adapted to a Search Engine Application - Techniques provide time-aware ranking, such as ranking of information, files or URL (uniform resource locator) links. For example, time-aware modeling assists in determining user intent of a query to a search engine. In response to the query, results are ranked in a time-aware manner to better match the user intent. The ranking may model query, URL and query-URL pair behavior over time to create time-aware query, URL and query-URL pair models, respectively. Such models may predict behavior of a query-URL pair, such as frequency and timing of clicks to the URL of the pair when the query of the pair is posed to the search engine. Results of a query may be ranked by predicted query-URL behavior. Once ranked, the results may be sent to the user in response to the query. | 04-11-2013 |
20130124074 | SELECTIVE EXCHANGE OF VEHICLE OPERATIONAL DATA - Velocity information can be beneficial to various entities including other vehicles and a central traffic monitoring and routing system. Vehicles with sensors can serve as velocity probes to update speeds that are shared via a more global service. However, individuals may be reluctant to provide location and velocity information given privacy preferences. Local policies about sharing personal data are described that can be harnessed to enhance privacy while minimizing communication costs. The local data-sharing policies allow devices to monitor their own speeds and locations and to employ models and analyses that determine the value of sharing flow information with a larger service in accordance with privacy preferences, and to make local decisions as to when to respond to broadcasted queries for specific information, while minimizing the redundancy of signals from multiple vehicles. | 05-16-2013 |
20130238378 | MANAGING RESOURCES USING RESOURCE MODIFIERS - Systems, methods, and computer-storage media are provided for employing environment and resource data to facilitate management of shopper traffic and resource allocation. Shopper traffic information is received from environmental sensors located in or nearby a business establishment. Resource information associated with the business establishment is also received. A traffic modifier is determined based on the shopper traffic information and the resource information; the traffic modifier is used to influence the behavior of shoppers with respect to the business establishment. As well, a resource modifier for the business establishment is also determined based on a projected result of dissemination of the traffic modifier. | 09-12-2013 |
20130311305 | UPDATING OLD MEDIA WITH CONFIGURABLE ENTITIES - The claimed subject matter relates to an architecture that can provide configurable entities in connection with electronic archival of print-based media. In accordance therewith, print-based media can be archived electronically (e.g., by imaging or scanning the print-based media) in a remastered form that provides for displaying the original work with readily modifiable entities, such as advertisements. Media or entities can be selected based upon the original advertiser, the original product, or another element or feature of the print-based media, and can also be selected based upon a profile associated with the media consumer. | 11-21-2013 |
20130345966 | COMPUTATION OF TRAVEL ROUTES, DURATIONS, AND PLANS OVER MULTIPLE CONTEXTS - A route planning system comprises a receiver component that receives a request for directions between a beginning point and a destination point. An analysis component analyzes a traffic system representation that varies as context varies and outputs expected amounts of travel time between the beginning point and the destination point for multiple contexts based at least in part upon the analysis. A method is described herein that includes techniques for searching over routes and trip start times simultaneously so as to identity start times and routes associated with maximal expected value, or equivalently minimum expected cost, given preferences encoded about one or more of the leaving time, the travel time, and the arrival time. | 12-26-2013 |
20140012874 | INTEGRATION OF LOCATION LOGS, GPS SIGNALS, AND SPATIAL RESOURCES FOR IDENTIFYING USER ACTIVITIES, GOALS, AND CONTEXT - Described are methods that utilize a geographic location technology (e.g., GPS) to determine user location data, and existing network-based websites (e.g., Internet websites) for searching and accessing data related to the location data such that the user context can be developed and stored. A location component is provided that determines location data of a wireless communications device of a user. A context component is provided that accesses context data based on the location data to define a context in which the device is located. Activities, goals, and overall context of a user can be inferred through statistical fusion of multiple sources of evidence. The context data is presented to the user via the wireless device such that the user can make decisions as to where to go, for example. User preferences can be accessed and applied to filter context data according to what the user desires to see and access. | 01-09-2014 |
20140055499 | METHODS FOR AUTOMATED AND SEMIAUTOMATED COMPOSITION OF VISUAL SEQUENCES, FLOWS, AND FLYOVERS BASED ON CONTENT AND CONTEXT - A system with the ability to dynamically compose a sequence of visual views or flows allowing a single object or region, or multiple objects or regions, to be viewed from different perspectives and visual distances is described. The sequence of views can provide smooth flyovers over positions and details on objects that are deemed to be of interest, with changes in zoom level and/or velocity that are functions of the estimated complexity and/or unfamiliarity with features of the object. In an example, a flyover displaying different views on a map of a city arterial system on a small-screened mobile device is composed based on current traffic conditions, swooping up and down with parabolic trajectories, based on distances being traversed, and pausing at times over key traffic jams and other findings of interest based on the estimated visual complexity and predicted atypicality of situations. | 02-27-2014 |
20140100779 | METHODS FOR AUTOMATED AND SEMIAUTOMATED COMPOSITION OF VISUAL SEQUENCES, FLOWS, AND FLYOVERS BASED ON CONTENT AND CONTEXT - A system with the ability to dynamically compose a sequence of visual views or flows allowing a single object or region, or multiple objects or regions, to be viewed from different perspectives and visual distances is described. The sequence of views can provide smooth flyovers over positions and details on objects that are deemed to be of interest, with changes in zoom level and/or velocity that are functions of the estimated complexity and/or unfamiliarity with features of the object. In an example, a flyover displaying different views on a map of a city arterial system on a small-screened mobile device is composed based on current traffic conditions, swooping up and down with parabolic trajectories, based on distances being traversed, and pausing at times over key traffic jams and other findings of interest based on the estimated visual complexity and predicted atypicality of situations. | 04-10-2014 |
20140114563 | PROBABILISTIC MAP MATCHING FROM A PLURALITY OF OBSERVATIONAL AND CONTEXTUAL FACTORS - Systems, methods, and devices are described for implementing map matching techniques relating to measured location data. Probabilistic models, including temporal Bayesian network models and Hidden Markov Models, may be used for combining multiple classes of evidence relating to potential locations of points traversed on routes over time. Multiple route segments and overall routes may be maintained under relative uncertainty as candidates. The candidate route segments and overall routes may then be reduced into a smaller number of candidates or a single most likely route as a trip progresses. As the trip progresses, route segments in proximity to each location point are identified and candidate matches are determined. A probability of an entity traversing a candidate match at a given time and a probability of an entity traversing between a first candidate match at a first time and a second candidate match at a second time are determined based on a plurality of factors. Different modalities may be used to measure and transmit the location data. | 04-24-2014 |
20140120954 | COMPUTING AND HARNESSING INFERENCES ABOUT THE TIMING, DURATION, AND NATURE OF MOTION AND CESSATION OF MOTION WITH APPLICATIONS TO MOBILE COMPUTING AND COMMUNICATIONS - An information delivery system comprises a receiver component that receives information about the movement, velocity, acceleration, and/or locations over time of a user. A computation component using a predictive model generates a probability distribution relating to one or more of when the user will next be stopped, how long the user will be stopped, how long a pattern of motion, such as walking, driving in stop and go traffic, and smooth highway motion will last, based at least in part upon signals about motion over time. The system can further comprise an alerting component that determines when to provide the user with information based at least in part upon the probability distribution over some aspect of motion or cessation of motion, and optionally the content, or tagged or inferred urgency or importance, of a message or communication. | 05-01-2014 |
20140244148 | SELECTIVE EXCHANGE OF VEHICLE OPERATIONAL DATA - Velocity information can be beneficial to various entities including other vehicles and a central traffic monitoring and routing system. Vehicles with sensors can serve as velocity probes to update speeds that are shared via a more global service. However, individuals may be reluctant to provide location and velocity information given privacy preferences. Local policies about sharing personal data are described that can be harnessed to enhance privacy while minimizing communication costs. The local data-sharing policies allow devices to monitor their own speeds and locations and to employ models and analyses that determine the value of sharing flow information with a larger service in accordance with privacy preferences, and to make local decisions as to when to respond to broadcasted queries for specific information, while minimizing the redundancy of signals from multiple vehicles. | 08-28-2014 |
20140278091 | PLANNING UNDER DESTINATION UNCERTAINTY - The subject disclosure is directed towards resolving an uncertain transportation context by suggesting one or more potential diversions. An automated routing system may generate routing information that includes map data as well as a location of a diversion having an expected cost in compliance with the uncertain transportation context. Such a diversion may be a waypoint that satisfies one or more user needs given an unknown/uncertain destination. | 09-18-2014 |
20140278634 | Spatiotemporal Crowdsourcing - The subject disclosure is directed towards spatiotemporal crowdsourcing, in which a task including task criteria is received, and an actor set (e.g., human workers) are selected based upon user task preference data and task ability data with respect to accomplishing the task. The actor set is summoned to a location at a time to participate in the task. Spatiotemporal crowdsourcing may be implanted as a service that selects the actor set and tracks state information as to a completion state of the task. | 09-18-2014 |
20140278657 | HIRING, ROUTING, FUSING AND PAYING FOR CROWDSOURCING CONTRIBUTIONS - The subject disclosure is directed towards using one or more machines with respect intelligently performing a task, such as a crowdsourcing task. Prediction models are used to determine how many workers are needed for a task, based upon a budget and a general goal of trying to use as few workers as needed to achieve a desired result. A number of workers needed to perform a task, without exceeding a budget is computed by predicting future contributions to estimate the number of workers. Also described is predicting based upon existing data, predicting when there is no existing data with which to start based upon adapting, and fairer payment schemes. | 09-18-2014 |
20140279719 | VALUE OF INFORMATION WITH STREAMING EVIDENCE - The subject disclosure is directed towards processing evidence, which may include high-dimensional streaming evidence, into a future belief state. The existing evidence is used to project a belief about a future state. The future belief state may be used to determine whether to wait for additional evidence, or to act now without waiting for additional evidence, e.g., based on a cost of the delay. For example, an autonomous assistant may decide based upon the belief whether to engage a person or not, or to wait for more information before the engagement decision is made. | 09-18-2014 |
20140279737 | MONTE-CARLO APPROACH TO COMPUTING VALUE OF INFORMATION - The subject disclosure is directed towards the use of Monte Carlo (MC) procedures for computing the value of information (VOI), including with long evidential sequences. An MC-VOI algorithm is used to output a decision as to balancing the value and costs of collecting information in advance of taking action by running prediction model-based simulations to determine execution paths through possible states, and processing the results of the simulations/paths taken into a final decision. | 09-18-2014 |
20140304211 | BUILDING AND USING PREDICTIVE MODELS OF CURRENT AND FUTURE SURPRISES - Methods are described for identifying events that would be considered surprising by people and identifying how and when to transmit information to a user about situations that they would likely find surprising. Additionally, the methods of identifying surprising situations can be used to build a case library of surprising events, joined with a set of observations before the surprising events occurred. Statistical machine learning methods can be applied with data from the case library to build models that can predict when a user will likely be surprised at future times. One or more models of context-sensitive expectations of people, a view of the current world, and methods for recording streams or events before surprises occur, and for building predictive models from a case library of surprises and such historical observations can be employed. The models of current and future surprises can be coupled with display and alerting machinery. | 10-09-2014 |
20140377727 | User Behavior Monitoring On A Computerized Device - The subject disclosure is directed towards monitoring user behavior on a computerized device for any deviation from normal or acceptable behavior that is likely to affect the user's mental state. A prediction model corresponding to features of one or more mental states may be compared with features based upon current user behavior. If the user's current behavior presents a mental state indicative of an uncharacteristic deviation from the normal or acceptable behavior, descriptive data associated with that mental state may be presented to the user in addition to a trusted individual, such as a health care professional. | 12-25-2014 |
20140379630 | DISCOVERING ADVERSE HEALTH EVENTS VIA BEHAVIORAL DATA - Aspects of the subject disclosure are directed towards processing search logs and/or other large scale data sources to detect medical related-effects. For example, an anomalous number of queries regarding a particular symptom and a drug may indicate the existence of a previously unknown side-effect of the drug. Side effects of drug interactions may also be found by processing behavioral data such as queries and social network posts. Also described is the generation of symptom spectra data that is processed to detect anomalies and the like in user behavior corresponding to medical related-effects. | 12-25-2014 |
20150072709 | INTEGRATION OF A COMPUTER-BASED MESSAGE PRIORITY SYSTEM WITH MOBILE ELECTRONIC DEVICES - Methods for integrating mobile electronic devices with computational methods for assigning priorities to documents are disclosed. In one embodiment, a computer-implemented method first receives a new document such as an electronic mail message. The method assigns a priority to the document, based on a text classifier such as a Bayesian classifier or a support-vector machine classifier. The method then alerts a user on an electronic device, such as a pager or a cellular phone, based on an alert criteria that can be made sensitive to information about the location, inferred task, and focus of attention of the user. Such information can be inferred under uncertainty or can be accessed directly from online information sources. One embodiment makes use of information from an online calendar to control the criteria used to make decisions about relaying information to a mobile device. | 03-12-2015 |