Yahoo! Inc.

Excalibur Ip, LLC

Alpa Jain

Anish Das Sarma

Omer Emre Velipasaoglu

Cong Yu

Ana-Maria Popescu

Gilad Avraham Mishne

Umut Ozertem

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

Method and system for generating query-related suggestions

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.

Socializing via search

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.

Method and system for discovering dynamic relations among entities

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.

System and method for contextualizing query instructions using user's recent search history

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.

Search suggestion clustering and presentation

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. A new message is classified based on the models and retaining classification information regarding the new message in a database that is accessible by a user so as to review the classification information on a computer display.

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San Jose, CA, United States of America

Alpa Jain