1
Sepandar D Kamvar, Taher H Haveliwala, Glen M Jeh: Anticipated query generation and processing in a search engine. Google, Morgan Lewis & Bockius, November 16, 2010: US07836044 (183 worldwide citation)

A search system monitors the input of a search query by a user. Before the user finishes entering the search query, the search system identifies and sends a portion of the query as a partial query to the search engine. Based on the partial query, the search engine creates a set of predicted queries. ...


2
Sepandar D Kamvar, Taher H Haveliwala, Glen M Jeh: Anticipated query generation and processing in a search engine. Google, Morgan Lewis & Bockius, September 18, 2012: US08271471 (122 worldwide citation)

A search system monitors the input of a search query by a user. Before the user finishes entering the search query, the search system identifies and sends a portion of the query as a partial query to the search engine. Based on the partial query, the search engine creates a set of predicted queries. ...


3
Taher H Haveliwala, Glen M Jeh, Sepandar D Kamvar: Variable personalization of search results in a search engine. Google, Fish & Richardson PC, May 11, 2010: US07716223 (63 worldwide citation)

A search engine provides personalized rankings of search results. A user interest profile identifies topics of interest to a user. Each topic is associated with one or more sites, and a boost value, which can be used to augment an information retrieval score of any document from the site. Search res ...


4
Kevin A Gibbs, Sepandar D Kamvar, Taher H Haveliwala, Glen M Jeh: Method and system for autocompletion using ranked results. Google, Morgan Lewis & Bockius, February 3, 2009: US07487145 (60 worldwide citation)

A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequenc ...


5
Sepandar D Kamvar, Taher H Haveliwala, Glen M Jeh: Customization of search results for search queries received from third party sites. Google, Fish & Richardson P C, July 21, 2009: US07565630 (50 worldwide citation)

A third party website provides a search interface to a general search engine. A site profile of the third party website describes various topics, keywords, or domains that are potentially relevant or of interest to users who access the third party website. The topics are associated with a topical di ...


6
Glen M Jeh, Beverly Yang: Classifying text into hierarchical categories. Google, Fish & Richardson P C, March 27, 2012: US08145636 (36 worldwide citation)

Systems, methods and program products for classifying text. A system classifies text into first subject matter categories. The system identifies one or more second subject matter categories in a collection of second subject matter categories, each of the second categories is a hierarchical classific ...


7
Taher H Haveliwala, Glen M Jeh, Sepandar D Kamvar: Targeted advertisements based on user profiles and page profile. Google, Fish & Richardson P C, November 27, 2012: US08321278 (33 worldwide citation)

Targeted advertisements are provided to an advertisement consumer based on a user profile, a page profile, or a combination thereof. In embodiment where a user of a search engine is an advertisement consumer, the user utilizes a search engine to obtain search results relevant to a search query. A us ...


8
Sepandar D Kamvar, Taher H Haveliwala, Glen M Jeh: Anticipated query generation and processing in a search engine. Google, Morgan Lewis & Bockius, April 10, 2012: US08156109 (27 worldwide citation)

A search system monitors the input of a search query by a user. Before the user finishes entering the search query, the search system identifies and sends a portion of the query as a partial query to the search engine. Based on the partial query, the search engine creates a set of predicted queries. ...


9
Sepandar D Kamvar, Taher H Haveliwala, Glen M Jeh: Method for detecting link spam in hyperlinked databases. Google, Morgan Lewis & Bockius, March 24, 2009: US07509344 (21 worldwide citation)

Methods for facilitating the identification of link spamming in a linked database include calculating a spam likelihood value for nodes in a directed graph of linked nodes are disclosed. The spam likelihood value is computed from an importance of the node and a derivative value of the importance fun ...


10
Philip McDonnell, Glen M Jeh, Taher H Haveliwala, Yair Kurzion: Recent interest based relevance scoring. Google, Fish & Richardson P C, March 3, 2015: US08972391 (13 worldwide citation)

A computer-implemented method for processing query information includes receiving prior queries followed by a current query, the prior and current queries being received within an activity period an originating with a search requester. The method also includes receiving a plurality of search results ...