Patent application number | Description | Published |
20090292791 | AUTOMATED CODE SPLITTING AND PRE-FETCHING FOR IMPROVING RESPONSIVENESS OF BROWSER-BASED APPLICATIONS - A “code splitting tool” provides various techniques for automatically analyzing and rewriting existing browser-based applications to introduce dynamic code loading into those applications thereby improving perceived application responsiveness. Structural elements of application code (including functions, classes, etc.) are broken into small “stubs” with corresponding bodies. Rewritten applications then initially transfer only the portion of the code (including some combination of stubs and bodies) to the client as necessary for initial application execution. Additional stubs and/or bodies are then transferred either on-demand at runtime or in the background. Automated code rewriting proceeds without requiring any application-specific knowledge or changes to existing code prior to code rewriting. Further, the code splitting tool can tailor code rewriting to specific computing devices (computers, PDA's, cell phones, etc.), specific network conditions, and/or specific users, through an automated training process that creates clusters that control code downloads to optimize perceived application responsiveness. | 11-26-2009 |
20120158668 | STRUCTURING UNSTRUCTURED WEB DATA USING CROWDSOURCING - A crowdsourcing data structuring system and method for capturing unstructured data from the Web and adding structure by placing the data in a document that is accessible by others in a cloud computing environment. Using crowdsourcing, the unstructured data is annotated, amended, and verified to add structure to the unstructured data. An anchor and update module convert the data to a pointer that links the document to the data at an information source and stores the pointer in the document rather than the data itself. The data displayed in the document is updated whenever the information source is updated. A contribution module allows users to add data to the document, a validation module allows users to determine the validity of the data linked to in the document, and an expert ranking module allows users to rank the expert or contributor of the data in the document. | 06-21-2012 |
20120323839 | ENTITY RECOGNITION USING PROBABILITIES FOR OUT-OF-COLLECTION DATA - A classifier that disambiguates among entities based on a dictionary, such as corpus of documents about those entities, is built by incorporating probabilities that an entity exists that is not in the dictionary. Given a document it is associated by the classifier with an entity. By incorporating out of collection probabilities into the classifier, a higher level of confidence in the match between an entity and a document is achieved. | 12-20-2012 |
Patent application number | Description | Published |
20080208526 | Strategies for Identifying Anomalies in Time-Series Data - A strategy is described for identifying anomalies in time-series data. The strategy involves dividing the time-series data into a plurality of collected data segments and then using a modeling technique to fit local models to the collected data segments, Large deviations of the time-series data from the local models are indicative of anomalies In one approach, the modeling technique can use an absolute value (L | 08-28-2008 |
20080209030 | Mining Web Logs to Debug Wide-Area Connectivity Problems - Internet service providers and their clients communicate by transmitting messages across one or more networks and infrastructure components. At various points between the service provider and the clients, inclusively, records may be created of each messages occurrence and status. These records may be read and analyzed to determine the effects of the networks and infrastructure components on the provided quality of service. User-effecting incidents (e.g., failures) occurring at networks may also be identified and described. | 08-28-2008 |
20090164929 | Customizing Search Results - A system customizes search results. In one implementation, an exemplary system personalizes search results based on recommendations from members of online social networks to which the user belongs, who have made similar search queries in the past. The system also enables the user to arrange, insert, and delete search result entries into a customized search results queue from across multiple search engines. The user's own customizations of the search results may be shared, in turn, as recommendations for other users who submit similar search queries and who are associated with the user through online social networks. The system may automatically provide personally relevant search results for a subjective query. In one implementation, the system also posts search results that contain explicit recommendations made by peers, posts the reputation of the peers, and appends links to channels for directly communicating with those peers who submitted the recommendations or with peers who are currently performing a similar search. | 06-25-2009 |
20090254552 | HIGHLY AVAILABLE LARGE SCALE NETWORK AND INTERNET SYSTEMS - Described is a technology by which a system corresponding to a large scale application is built from subsystems that are differentiated from one another based on characteristics of each subsystem. Example characteristics include availability, reliability, redundancy, statefulness and/or performance. Subsystems are matched to known design patterns, based on each subsystem's individual characteristics. Each subsystem's characteristics are associated with that subsystem for subsequent use in operation of the system, e.g., for managing/servicing the subsystem. The known design patterns may be provided in a library, in a programming framework, in conjunction with a development tool, and/or as data associated with one or more operating system services, server systems and/or hosted services that include at least one configuration, policy and or schema. Certain design patterns and/or characteristics patterns may be blocked to prevent their usage. | 10-08-2009 |
20100153928 | Developing and Maintaining High Performance Network Services - A network service runtime module executing on a processor is configured to accept a directed acyclic service graph representing elements of a network service application. During execution of the service graph, runtime events are stored. The service graph may by optimized by generating alternate service graphs, and simulating performance of the alternate service graphs in a simulator using the stored runtime events. A hill climber algorithm may be used in conjunction with the simulator to vary alternate service graphs and determine which alternate service graphs provide the greatest utility. Once determined, an alternate service graph with the greatest utility may be loaded into the network service runtime module for execution. | 06-17-2010 |
20100318658 | DATACENTER EXECUTION TEMPLATES - Deployment and execution of a service in a multiple datacenter environment may be facilitated using datacenter execution templates. Developers, business managers, and other interested parties may select and/or modify a declarative execution template embodying multiple factors. The execution template may then be used to generate an execution plan, which is then executed by datacenters which run the service. The execution template may be optimized after deployment of the service, allowing for ongoing adjustment in response to changing business, regulatory, and operational factors. | 12-16-2010 |
20110295852 | FEDERATED IMPLICIT SEARCH - A resource selection system is described for assisting a user in performing a task that includes multiple actions. At each stage of the task, the system presents a set resources from which the user may select to perform a subsequent action in the task. The system implicitly selects the set of resources based on context information that identifies the user's current informational needs. For example, the context information may be derived from textual information that is being presented on a user device, which the user is presumed to be viewing at the current time. In one implementation, the system selects the set of resources by computing language models for respective domains and respective entities. The system uses the language models to determine the relevance of the context information to each of the domains. The system then selects resources associated with domains that have been assessed as relevant. | 12-01-2011 |
20110320250 | ADVERTISING PRODUCTS TO GROUPS WITHIN SOCIAL NETWORKS - Within a social network, users may form social groups based on shared traits, such as experiences and interests. The social network may be able to detect a user interest among the users of a social group in one or more products offered by one or more vendors (e.g., by evaluating conversations within the social group and search queries executed by users of the social group), and to notify the vendors of the detected user interest. The vendors may be willing to extend an offer to the users of the social group regarding the product, and the social network may present the offer to the users of the social group. The social network may also track acceptances of the offer by users of the social group, and may provide an e-commerce infrastructure to allow users to complete purchases of the product and to provide the rewards featured in the offers. | 12-29-2011 |
20110320441 | ADJUSTING SEARCH RESULTS BASED ON USER SOCIAL PROFILES - Many contemporary computing scenarios involve the submission by a user of a search query to be applied to a data set (such as a set of web pages indexed by a web search engine.) Additionally, many users participate in social networking and have generated a social profile, including demographic information, interests, and associations with other users who also have social profiles. It may be advantageous to improve the presentation of search results from search queries by adjusting the search queries according to a prediction of user interest of the user in the topics associated with respective search results, based on the information in the social profile of the user. For example, search results relating to topics in which the user or the user's friends have expressed an interest within the social network may be presented before other search results, thereby improving the relevance of the search results to the user. | 12-29-2011 |
20120016866 | SCALED MANAGEMENT SYSTEM - An exemplary system for managing an applications and data space includes a strategy layer configured to receive a query statement and to formulate one or more custom queries based on the query statement and a query scheduler layer configured to schedule issuance of the one or more custom queries to one or more query response modules associated with the applications and data space. Other methods, devices and systems are also disclosed. | 01-19-2012 |
Patent application number | Description | Published |
20090083363 | REMOTE MONITORING OF LOCAL BEHAVIOR OF NETWORK APPLICATIONS - Computer-executable instructions comprising some or all of a program can be delivered to a client for execution on a real-time basis such that the client receives anew the computer-executable instructions for each new execution of the program. Such an environment enables instrumentation instructions to be inserted into the computer-executable instructions after a request and prior to the delivery of the computer-executable instructions. The inserted instrumentation instructions can be spread across multiple deliveries of the same computer-executable instructions, and they can be modified to account for information received from previously inserted instrumentation instructions. The instrumentation instructions can be inserted as part of the server process, the client process, or as part of a proxy server that can be used at the discretion of the program developer. | 03-26-2009 |
20090083409 | REMOTE MONITORING OF LOCAL BEHAVIOR OF NETWORK APPLICATIONS - Computer-executable instructions comprising some or all of a program can be delivered to a client for execution on a real-time basis such that the client receives anew the computer-executable instructions for each new execution of the program. Such an environment enables instrumentation instructions to be inserted into the computer-executable instructions after a request and prior to the delivery of the computer-executable instructions. The inserted instrumentation instructions can be spread across multiple deliveries of the same computer-executable instructions, and they can be modified to account for information received from previously inserted instrumentation instructions. The instrumentation instructions can be inserted as part of the server process, the client process, or as part of a proxy server that can be used at the discretion of the program developer. | 03-26-2009 |
20090083714 | REMOTE MONITORING OF LOCAL BEHAVIOR OF NETWORK APPLICATIONS - Computer-executable instructions comprising some or all of a program can be delivered to a client for execution on a real-time basis such that the client receives anew the computer-executable instructions for each new execution of the program. Such an environment enables instrumentation instructions to be inserted into the computer-executable instructions after a request and prior to the delivery of the computer-executable instructions. The inserted instrumentation instructions can be spread across multiple deliveries of the same computer-executable instructions, and they can be modified to account for information received from previously inserted instrumentation instructions. The instrumentation instructions can be inserted as part of the server process, the client process, or as part of a proxy server that can be used at the discretion of the program developer. | 03-26-2009 |
20100125490 | SOCIAL NETWORK REFERRAL COUPONS - The claimed subject matter provides a system and/or a method that facilitates enhancing coupon distribution in a non-evasive manner based upon a referral. A social network can include two or more users with at least one actively acknowledged connection that indicates a relationship between a first user and a second user. An interface can receive a referral from the first user associated with the social network, wherein the referral describes an experience related to at least one of a business or a service. A viral coupon component can implement a non-evasive delivery of a coupon to the second user based upon leveraging the relationship between the first user and the second user, wherein the coupon is incorporated within at least one of an advertisement or a listing. The vial coupon component delivery of the coupon can be triggered based upon the second user actively investigating at least one of the business or the service. | 05-20-2010 |
20100325133 | DETERMINING A SIMILARITY MEASURE BETWEEN QUERIES - A system described herein includes a receiver component that receives a dataset that is stored in a computer-readable medium of a computing device, wherein the dataset includes a plurality of queries issued by users to a search engine and a plurality of search results selected by the users upon issuing the plurality of queries. A distribution determiner component determines click distributions over the search results selected by the users with respect to the plurality of queries. A labeler component labels at least two queries in the plurality of queries as being substantially similar to one another based at least in part upon the click distributions over the search results selected by the users with respect to the plurality of queries. | 12-23-2010 |
20110113349 | SOCIAL BROWSING - A method described herein includes acts of extracting at least one entity from an arbitrary web page being viewed by an individual on a computing device and comparing the at least one entity with social network data of the individual, wherein the social network data comprises a plurality of messages generated by members of a social network of the individual. The method further includes the acts of identifying at least one message in the plurality of messages based at least in part upon the comparing of the at least one entity with the social network data of the individual and causing the at least one message to be displayed on the web page in conjunction with the at least one entity. | 05-12-2011 |
20110137989 | GENERATING ACTIVITIES BASED UPON SOCIAL DATA - A method described herein includes acts of receiving data from a social networking application, wherein the data is generated by a first individual, and executing an entity extraction algorithm to extract at least one entity from the received data. The method also includes automatically causing a hyperlink to be displayed on a computing device utilized by a second individual, wherein the hyperlink is based at least in part upon the at least one entity, wherein the hyperlink is configured to direct the first individual to a search engine and is further configured to cause the search engine to execute a search that pertains to the at least one entity. | 06-09-2011 |
20110258556 | SOCIAL HOME PAGE - Technologies pertaining to the creation of personalized data for an individual, including personalized data based on a social networking participant's social networking data, entity extraction, and automatic collage generation are described herein. | 10-20-2011 |
20110283355 | EDGE COMPUTING PLATFORM FOR DELIVERY OF RICH INTERNET APPLICATIONS - An edge computing platform that provides on-demand delivery of Rich Internet Applications and other applications is disclosed. One embodiment includes an optional manager node and content distribution network (CDN) that include one or more compute nodes. The CDN collects information pertaining to execution of a software application. The CDN aggregates the information and transfers the aggregated information to the manager node. The manager node analyzes the information from the CDN and transfers results of the analysis to the CDN. The CDN receives a software application that is designed to be dynamically updated when executed at the clients. The CDN modifies the software application based on the information from the manager node. The CDN receives a request that pertains to the software application from a client device. The CDN transfers at least a portion of the modified software application to the client. | 11-17-2011 |
20110302152 | PRESENTING SUPPLEMENTAL CONTENT IN CONTEXT - Techniques that may be used for detecting a primary content (e.g., a web page) that the user is viewing and presenting one or more pieces of supplemental content (e.g., social media data) together with the primary content. The supplemental content presented to the user together with the primary content may be content that is matched to the primary content and therefore detected to be relevant to the user. Detection of primary content and matching to supplemental content may be carried out based on a comparison of entities related to the primary and supplemental content. In some embodiments, an analysis of the primary content for entities may include ordering entities according to significance in the primary content and selecting top entities for comparison. Also, in some embodiments, multiple pieces of supplemental content may be displayed to a user categorized based on entity. | 12-08-2011 |
20110307551 | Sharing of User Preferences - Sharing of user preferences is described. In an embodiment a user preference associated with a user is shared with a group of users in order to improve the relevance of results they receive. A database is used to store information detailing a number of groups of users extracted from a social network graph, where the social network graph describes connections between users. On receipt of a user preference associated with a user, a group of users containing the user is selected and the user preference is then shared with everyone in the selected group. In a further embodiment, the groups of users in the database may comprise cohesive groups of users and an extended group associated with each cohesive group. When selecting a group to share preference data with, a cohesive group containing the user is first selected and then the preference data is shared with the corresponding extended group. | 12-15-2011 |
20120330932 | PRESENTING SUPPLEMENTAL CONTENT IN CONTEXT - Techniques that may be used for detecting a primary content (e.g., a web page) that the user is viewing and presenting one or more pieces of supplemental content (e.g., social media data) together with the primary content. The supplemental content presented to the user together with the primary content may be content that is matched to the primary content and therefore detected to be relevant to the user. Detection of primary content and matching to supplemental content may be carried out based on a comparison of entities related to the primary and supplemental content. In some embodiments, an analysis of the primary content for entities may include ordering entities according to significance in the primary content and selecting top entities for comparison. Also, in some embodiments, multiple pieces of supplemental content may be displayed to a user categorized based on entity. | 12-27-2012 |
20130346404 | RANKING BASED ON SOCIAL ACTIVITY DATA - Various technologies described herein pertain to using social activity data to personalize ranking of results returned by a computing operation for a user. For each of the results returned by the computing operation, a respective first affinity of the user to a corresponding result and a respective second affinity of the user to the corresponding result can be calculated and used for ranking the results. The respective first affinity of the user to the corresponding result can be calculated based on correlations between social activity data of the user and social activity data of a first group of historical users that clicked the corresponding result. Moreover, the respective second affinity of the user to the corresponding result can be calculated based on correlations between the social activity data of the user and social activity data of a second group of historical users that skipped the corresponding results. | 12-26-2013 |
20140244550 | POSTERIOR PROBABILITY PURSUIT FOR ENTITY DISAMBIGUATION - Various technologies described herein pertain to disambiguation of a mention of an ambiguous entity in a document. A set of candidate entities can be retrieved from an entity knowledge base based upon the mention of the ambiguous entity, where each of the candidate entities has a respective entity feature representation. Moreover, a document feature representation can be generated based upon features of the document and the respective entity feature representations of the candidate entities. A processor can be caused to select a subset of features from the document feature representation based upon a measure of how discriminative the features from the document feature representation are for disambiguating the mention of the ambiguous entity. A disambiguated result for the mention of the ambiguous entity can be determined based upon the subset of the features. The disambiguated result can be an unknown entity or one of the candidate entities. | 08-28-2014 |