Patent application number | Description | Published |
20140214429 | Method for Voice Activation of a Software Agent from Standby Mode - A method for voice activation of a software agent from a standby mode. In one embodiment, an audio recording ( | 07-31-2014 |
20140320434 | Method for gesture control - A method for gesture-based control of a portable, electronic device ( | 10-30-2014 |
20150179214 | Method for replacing defective sections on a data carrier with overlapping data tracks and device thereof - A defect management for storage devices is disclosed, which may be used in connection with shingled magnetic recording (SMR). SMR uses bands, consisting of tracks, separated by guard regions. The replacement of a defective sector may be attained by placing a guard region onto the physical location of the defective sector. Depending on the embodiment, the boundaries of the bands and corresponding guard regions may be shifted. The portion of the disk surface which is necessary for the guard regions may simultaneously function as a spare sector area for defective sectors without additional space requirements. In at least one embodiment, an additional guard region reduces the write amplification, and in other embodiments, guard regions are placed onto tracks with an elevated number of primary defects. | 06-25-2015 |
20150254144 | Method for data recovery on a data carrier with overlapping data tracks and device thereof - A defect management system for storage devices is disclosed, which may be used in connection with shingled magnetic recording (SMR). Overlapping data tracks, separated by guard regions, are written by a write element whose track width is at least twice as wide as the track width of a read element. Depending on the embodiment, data recovery of a defective track or sector is attained by evaluating the contents of an adjacent track or guard region: if the adjacent track or guard region encompasses equivalent data, due to the width of the write element, this data may be used as a complement or as a substitute for the defective track or sector. This may reduce the risk of data loss. The capacity of a storage device may be increased by balancing out the probability of read errors with the probability that an adjacent track may encompass equivalent data. | 09-10-2015 |
20150255114 | METHOD FOR REDUCING WRITE AMPLIFICATION ON A DATA CARRIER WITH OVERLAPPING DATA TRACKS AND DEVICE THEREOF - A novel symmetrical band is disclosed, which may be used in connection with shingled magnetic recording (SMR) in order to reduce write amplification (read-modify-write). Depending on the embodiment, overlapping data tracks diverge from, or converge to the center of each symmetrical band. Associated guard regions may be located at the center, or at the band boundaries, and are shared such that the excess width of a write element is caught by the guard regions from both sides. A symmetrical band may reduce the maximum write amplification by more than half. A hard disk controller may maintain the number of taken or empty tracks on both sides of each symmetrical band substantially equal at every fill level. | 09-10-2015 |
20150255115 | Method for efficient write operations on a data carrier with overlapping data tracks and device thereof - A method and a device for efficient write operations are disclosed, which may be used in connection with shingled magnetic recording (SMR) in order to reduce write amplification (read-modify-write). The tracks on at least one data carrier surface are grouped into bands, and the address space of logical block addresses is divided into address subsets. Each of these address subsets is permanently assigned to a dedicated selection of tracks derived from all bands. Depending on the embodiment, the dedicated selection of tracks may be chosen in such a way that no write amplification occurs in a first phase and/or that recent data or newly added data can be altered without necessitating read-modify-write. | 09-10-2015 |
Patent application number | Description | Published |
20100306166 | AUTOMATIC FACT VALIDATION - The disclosed embodiments fulfill searches and determine the validity of a large set of noisy facts and rank the set of facts according to a validity score. Embodiments construct a fact graph by linking together facts that share a common relation structure and entity or instance of an argument. Facts are re-ranked and validated using link analysis processes which propagate weight (validity/authority) through the fact graph. The resulting weights for each fact are potentially combined with other scores (such as from fact extraction algorithms) in order to come up with a final ranking of the facts. | 12-02-2010 |
20110022550 | MIXING KNOWLEDGE SOURCES WITH AUTO LEARNING FOR IMPROVED ENTITY EXTRACTION - The disclosed embodiments of computer systems and techniques utilize an ensemble semantics framework to combine knowledge acquisition systems that yield significantly higher quality resources than each system in isolation. Gains in entity extraction are achieved by combining state-of-the-art distributional and pattern-based systems with a large set of features from, for example, a webcrawl, query logs, and wisdom of the crowd sources. This results in improved query interpretation and greater relevancy in providing search results and advertising, for example. | 01-27-2011 |
20110022598 | MIXING KNOWLEDGE SOURCES FOR IMPROVED ENTITY EXTRACTION - The disclosed embodiments of computer systems and techniques utilize an ensemble semantics framework to combine knowledge acquisition systems that yield significantly higher quality resources than each system in isolation. Gains in entity extraction are achieved by combining state-of-the-art distributional and pattern-based systems with a large set of features from, for example, a webcrawl, query logs, and wisdom of the crowd sources. This results in improved query interpretation and greater relevancy in providing search results and advertising, for example. | 01-27-2011 |
Patent application number | Description | Published |
20120317088 | Associating Search Queries and Entities - The subject disclosure is directed towards processing data to obtain associations between queries and entities. Association is modeled using a query-entity click graph, blending general query-click logs with vertical query-click logs. Smoothing techniques address the data sparsity in such graphs, including interpolation using a query synonymy model. The association models may be applied to the task of recommending products to web queries, by annotating queries with products from a large catalog and then mining query-product associations through web search session analysis. | 12-13-2012 |
20130144854 | MODELING ACTIONS FOR ENTITY-CENTRIC SEARCH - In one embodiment, a web service engine server | 06-06-2013 |
20130159219 | Predicting the Likelihood of Digital Communication Responses - Different advantageous embodiments provide for response prediction. A social element is received by a prediction mechanism. A feature set is generated for the social element. A prediction is generated using the feature set and a prediction model. | 06-20-2013 |
20130262114 | Crowdsourced, Grounded Language for Intent Modeling in Conversational Interfaces - Different advantageous embodiments provide a crowdsourcing method for modeling user intent in conversational interfaces. One or more stimuli are presented to a plurality of describers. One or more sets of describer data are captured from the plurality of describers using a data collection mechanism. The one or more sets of describer data are processed to generate one or more models. Each of the one or more models is associated with a specific stimulus from the one or more stimuli. | 10-03-2013 |
20130282704 | SEARCH SYSTEM WITH QUERY REFINEMENT - A search system that automatically generates questions to refine an underspecified query. The system may generate questions even for queries against a database that contains unstructured textual descriptions of items, allowing the system to operate on a database of items that can be constructed inexpensively. The system extracts from the unstructured text combinations of words that may serve as a set of attribute values. The system uses a classifier to filter out attribute values from the set that would generate unanswerable questions. The remaining attribute values are ranked on their ability to narrow the search results and the highest ranking attribute value is used to generate a question to the user who submitted the query. The response to the question narrows the search results, and the process can be repeated iteratively until the search results are sufficiently narrow. | 10-24-2013 |
20140172412 | ACTION BROKER - Among other things, one or more techniques and/or systems are provided for building an action catalogue, generating an action frame for an action within the action catalogue, and/or executing an action. In an example, an action may be included within the action catalogue based upon descriptive text associated with an application indicating that the application is capable of performing the action (e.g., a movie app may be capable of performing an order movie tickets action). A parameter (e.g., a movie name) and/or an execution endpoint (e.g., a uniform resource identifier used to access movie ticket ordering functionality) may be used to generate an action frame for the action. In this way, user intent to perform an action may be identified from user input (e.g., a spoken command), and the action may be performed (e.g., on behalf of the user with minimal additional user input) by using the action frame. | 06-19-2014 |
20140279730 | IDENTIFYING SALIENT ITEMS IN DOCUMENTS - A set of representations of item-page pairs of items and respective web pages that include the respective items is obtained, each representation including feature function values indicating weights associated with features of associated web pages, the features including page classification features. An annotated set of labeled training data that is annotated with salience annotation values of items for respective web pages that include the items is obtained. The salience annotation values are determined based on a soft function, by determining a first count of a total number of user queries associated with corresponding visits to the respective web pages, and determining a ratio of a second count to the first count, the second count determined as a cardinality of a subset of the corresponding visits that are associated with user queries that include the item, the subset included in the corresponding visits. Models are trained using the annotated set. | 09-18-2014 |
20150100524 | SMART SELECTION OF TEXT SPANS - A text span forming either a single word or a series of two or more words that a user intended to select is predicted. A document and a location pointer that indicates a particular location in the document are received and input to different candidate text span generation methods. A ranked list of one or more scored candidate text spans is received from each of the different candidate text span generation methods. A machine-learned ensemble model is used to re-score each of the scored candidate text spans that is received from each of the different candidate text span generation methods. The ensemble model is trained using a machine learning method and features from a dataset of true intended user text span selections. A ranked list of re-scored candidate text spans is received from the ensemble model. | 04-09-2015 |
20150100562 | CONTEXTUAL INSIGHTS AND EXPLORATION - Techniques and systems are presented for providing “contextual insights,” or information that is tailored to the context of the content a user is consuming or authoring. Given a request for information about a topic, which may be indicated by a user gesture in an application, one or more queries to search services may be formulated without requiring entry of a search query directly by a user. Moreover, techniques and systems may leverage the context of the content the user is consuming or authoring, as well as user, device, and application metadata, to construct the queries and to organize and filter the results into relevant contextual insights. | 04-09-2015 |