Abstract: Methods and systems are provided that may be utilized to determine one or more suggestions of entities relating to a user query.

Abstract: Implementations of methods, apparatuses, or systems are disclosed to facilitate search related communications. In at least one implementation, a method may include processing search queries based at least in part on one or more search query parameters to identify candidate search queries for an exchange of related communications, wherein candidate search queries originate from different special purpose computing system resources and/or different users.

Abstract: Method, system, and programs for detecting dynamic relationship and discovering dynamic events. Data from a first data source is first received. At least one dynamic relation candidate is identified and each dynamic relation candidate involves multiple entities. The at least one dynamic relation candidate is identified based on temporal properties with respect to the entities exhibited in the data from the first data source. Dynamic relations are then extracted by corroborating the temporal properties of the entities involved in the at least one dynamic relation candidate with that of the same entities exhibited in data from a second data source. Then, a dynamic event that gives rise to the dynamic relations among different entities is detected.

Abstract: Method, system, and programs for detecting dynamic relationship and discovering dynamic events. Data from a first data source is first received. At least one dynamic relation candidate is identified and each dynamic relation candidate involves multiple entities. The at least one dynamic relation candidate is identified based on temporal properties with respect to the entities exhibited in the data from the first data source. Dynamic relations are then extracted by corroborating the temporal properties of the entities involved in the at least one dynamic relation candidate with that of the same entities exhibited in data from a second data source. Then, a dynamic event that gives rise to the dynamic relations among different entities is detected.

Abstract: Disclosed is a system and method for providing search suggestions to a user based on the user's previously entered search queries. A computing device stores a global set of search suggestions. The computing device receives over a network from a user computer operated by a user one or more alphanumeric characters forming a portion of a search query. The computing device determines a search suggestion to the portion of the search query from the global set of search suggestions based on a search history of the user, the search history of the user comprising a plurality of search queries entered by the user within a predetermined period of time. The computing device transmits to the user computer the search suggestion for display by the user computer.

Abstract: Disclosed are methods and apparatus for clustering and presenting search suggestions. A segment of text is obtained via a search query section of a user interface, the segment of text being a portion of a search query. A set of suggestions is obtained, each suggestion in the set of suggestions being a suggested search query relating to the segment of text. Two or more groups of suggestions are generated, each of the two or more groups of suggestions including a different subset of the set of suggestions. The two or more groups of suggestions are provided such that each of the two or more groups of suggestions is displayed in a separate partition of a search assistance segment of the user interface.

Abstract: Disclosed are methods and apparatus for analyzing and using online short messages from promoting entity accounts (e.g., business or non-profit accounts). In one embodiment, a method of analyzing and using messages sent for a plurality of promoting entity accounts is disclosed. A plurality of models for classifying a plurality of messages based on a plurality of message features are obtained for each message. Each message is sent via a computer network between a selected one of the promoting entity accounts and one or more subscribing users that subscribe to receive messages from such selected promoting entity account, and each model is trained to identify whether a message belongs to a particular class based on a lexicon that was generated for such particular class and a training set of messages that belong to the particular class and message that do not belong to the particular class.

Abstract: Methods and systems are provided that may be utilized to determine one or more suggestions of entities relating to a user query.

Abstract: Disclosed is a system and method for providing search suggestions to a user based on the user's previously entered search queries. A computing device stores a global set of search suggestions. The computing device receives over a network from a user computer operated by a user one or more alphanumeric characters forming a portion of a search query. The computing device determines a search suggestion to the portion of the search query from the global set of search suggestions based on a search history of the user, the search history of the user comprising a plurality of search queries entered by the user within a predetermined period of time. The computing device transmits to the user computer the search suggestion for display by the user computer.

Abstract: Disclosed are methods and apparatus for analyzing and using online short messages from promoting entity accounts (e.g., business or non-profit accounts). In one embodiment, a method of analyzing and using messages sent for a plurality of promoting entity accounts is disclosed. A plurality of models for classifying a plurality of messages based on a plurality of message features are obtained for each message. Each message is sent via a computer network between a selected one of the promoting entity accounts and one or more subscribing users that subscribe to receive messages from such selected promoting entity account, and each model is trained to identify whether a message belongs to a particular class based on a lexicon that was generated for such particular class and a training set of messages that belong to the particular class and message that do not belong to the particular class.

Abstract: Data-mining software receives a user query as an input and segments the user query into a number of units. The data-mining software then drops terms from a unit using a Conditional Random Field (CRF) model that combines a number of features. At least one of the features is derived from query logs and at least one of the features is derived from web documents. The data-mining software then generates one or more candidate queries by adding terms to the unit. The added terms result from a hybrid method that utilizes query sessions and a web corpus. The data-mining software also scores each candidate query on well-formedness of the candidate query, utility, and relevance to the user query. Then the data-mining software stores the scored candidate queries in a database for subsequent display in a graphical user interface for a search engine.

Abstract: Method, system, and programs for detecting dynamic relationship and discovering dynamic events. Data from a first data source is first received. At least one dynamic relation candidate is identified and each dynamic relation candidate involves multiple entities. The at least one dynamic relation candidate is identified based on temporal properties with respect to the entities exhibited in the data from the first data source. Dynamic relations are then extracted by corroborating the temporal properties of the entities involved in the at least one dynamic relation candidate with that of the same entities exhibited in data from a second data source. Then, a dynamic event that gives rise to the dynamic relations among different entities is detected.

Abstract: Implementations of methods, apparatuses, or systems are disclosed to facilitate search related communications.

Abstract: A model is created and from seed trivia facts will create a database of pruned and ranked trivia facts and associated trigger terms. Search, email, or other information provider systems are configured to detect usage of the trigger terms and provide relevant trivia facts in response to the usage.

Abstract: Disclosed are methods and apparatus for clustering and presenting search suggestions. A segment of text is obtained via a search query section of a user interface, the segment of text being a portion of a search query. A set of suggestions is obtained, each suggestion in the set of suggestions being a suggested search query relating to the segment of text. Two or more groups of suggestions are generated, each of the two or more groups of suggestions including a different subset of the set of suggestions. The two or more groups of suggestions are provided such that each of the two or more groups of suggestions is displayed in a separate partition of a search assistance segment of the user interface.

Abstract: Web search engines are often presented with user queries that involve comparisons of real-world entities. Thus far, this interaction has typically been captured by users submitting appropriately designed keyword queries for which they are presented a list of relevant documents. Embodiments explicitly allow for a comparative analysis of entities to improve the search experience.

Abstract: 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.