Patent application number | Description | Published |
20120197905 | INFORMATION RETRIEVAL USING SUBJECT-AWARE DOCUMENT RANKER - Subject matter described herein is related to determining a document score, which suggests a relevance of a document (e.g., webpage) to a search query. For example, a search query is received that is comprised of one or more terms, which represent a subject. An equivalent subject is identified that is semantically similar to the subject. The document score is determined by accounting for both a subject frequency and an equivalent-subject frequency. | 08-02-2012 |
20130339001 | SPELLING CANDIDATE GENERATION - Methods, systems, and media are provided for generating one or more spelling candidates. A query log is received, which contains one or more user-input queries. The user-input queries are divided into one or more common context groups. Each term of the user-input queries is ranked within a common context group according to a frequency of occurrence to form a ranked list for each of the one or more common context groups. A chain algorithm is implemented to the respective ranked lists to identify a base word and a set of one or more subordinate words paired with the base word. The base word and all sets of the subordinate words from all of the respective ranked lists are aggregated to form one or more chains of spelling candidates for the base word. | 12-19-2013 |
20130346400 | SELF-TUNING ALTERATIONS FRAMEWORK - Embodiment described herein are directed to an enhanced search engine with multiple feedback loops for providing optimal search results that are responsive a user's search query. The user's search query is parsed, and based on the underlying terms, different linguistic models and refinement techniques generate alternative candidate search queries that may yield better results. Searches are performed for the original search query and the candidate search queries, and different scores are used to select the best search results to present to the user. Results making it onto the list, as well as the underlying candidate search query, linguistic model, or refinement technique for generating that search query, will have their corresponding scores updated to reflect their success of generating a search result. Scores are stored and used by future searches to come up with better results. | 12-26-2013 |
20140379747 | IDENTIFYING RELEVANT APPS IN RESPONSE TO QUERIES - Systems, methods, and computer-readable storage media are provided for permitting users to search the content of a plurality of apps from a single search query input location. A user inputs a search query and a plurality of apps and/or the content thereof is searched to determine relevancy to the input query. If an app having relevant app content is identified, it may be determined if the app is associated with the querying user. If it is determined that the app is associated with the querying user, the information determined relevant to the input query may be presented to the user. If, it is determined that the app is not associated with the user, the user may be presented with the identity of the app and/or be directed to a location (e.g., an app store) where the user can become associated with the identified app and obtain the desired information. | 12-25-2014 |
Patent application number | Description | Published |
20110307482 | SEARCH RESULT DRIVEN QUERY INTENT IDENTIFICATION - A system and method are provided for detecting entity information contained within search results. The detected entity information can be used to determine a category of entity as well as a specific entity within the search results. The entity information can be used to alter the style and/or format of the presented results based the detected entity category. | 12-15-2011 |
20110307483 | ENTITY DETECTION AND EXTRACTION FOR ENTITY CARDS - A system and method are provided for detecting entity information contained within search results. The detected entity information can be used to determine a category of entity as well as a specific entity within the search results. Entity information can be extracted from the documents associated with the search results. This information can be used as part of the information for an entity card, which can be displayed to a user in conjunction with and/or in place of the search results. | 12-15-2011 |
20120150837 | OPTIMIZING BLENDING ALGORITHMS USING INTERLEAVING - Methods and computer-readable media are provided for interleaving multiple sets of blended search results to identify a preferred set of blended search results for a search query or for a category of search queries. A search query is received and routed to multiple ranking systems, which return search results that are blended into sets of blended search results. Interleaving experiments are performed to determined, based on user preferences, which set of blended search results are preferred for that particular search query. Based on the outcome, a preferred blending algorithm is identified. | 06-14-2012 |
20120150847 | EFFICIENT USE OF COMPUTATIONAL RESOURCES FOR INTERLEAVING - Methods and computer-readable media are provided for improving the efficiency of the interleaving process. Once it is determined that a search query is to be used in an interleaving experiment, a primary ranking system and a secondary ranking system are analyzed to determine whether their respective search results for that search query would be identical. If the search results would be identical, the search query is routed only to the primary ranking system and not the secondary ranking system. If, however, it is determined that the search results would not be identical, both the primary ranking system and the secondary ranking system receive the search query for processing. | 06-14-2012 |
20120239646 | RANKING CONTEXTUAL SIGNALS FOR SEARCH PERSONALIZATION - Methods are provided for re-ranking documents based on user-specific features. Search results are received from a non-contextual ranking system such that the search results are not specific toward a particular user, such as the user who submitted the search query. Contextual signals are received and provide user-specific features that are used to re-rank documents so that the most important and relevant documents are listed at the top of the list of search results. Each of the user-specific features are evaluated and compared to determine a new position of each document. A set of contextual search results is then generated based on the new positions. | 09-20-2012 |