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Eric Horvitz, David E Heckerman, Susan T Dumais, Mehran Sahami, John C Platt: Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, December 12, 2000: US06161130 (723 worldwide citation)

A technique, specifically a method and apparatus that implements the method, which through a probabilistic classifier (370) and, for a given recipient, detects electronic mail (e-mail) messages, in an incoming message stream, which that recipient is likely to consider "junk". Specifically, the inven ...


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Mehran Sahami, Timothy D Heilman: Generating query suggestions using contextual information. Google, Fish & Richardson PC, May 25, 2010: US07725485 (58 worldwide citation)

A search engine receives a query from an end-user. The search engine executes the query on a content database and identifies a set of matching content. The search engine utilizes the matching content to generate a query vector describing the end-user query. The search engine searches a repository of ...


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Mehran Sahami, George Harrison John: Method and apparatus for scalable probabilistic clustering using decision trees. E piphany, Fabio E Marino, Bingham McCutchen, May 13, 2003: US06564197 (45 worldwide citation)

Some embodiments of the invention include methods for identifying clusters in a database, data warehouse or data mart. The identified clusters can be meaningfully understood by a list of the attributes and corresponding values for each of the clusters. Some embodiments of the invention include a met ...


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Mehran Sahami, Richard C Gossweiler III, Manish G Patel, John Blackburn, David A Brown, Neha Gupta, Thomas H Taylor: Identifying media content in queries. Google, Fish & Richardson P C, August 23, 2011: US08005826 (37 worldwide citation)

A computer-implemented method includes receiving a query at a central information provider, identifying media-related terms in the query that indicate the query relates to one or more media-related objects, and providing media-specific results in response to the query associated with one or more pro ...


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Amit Singhal, Mehran Sahami, John Lamping, Marcin Kaszkiel, Monika H Henzinger: Search queries improved based on query semantic information. Google, Harrity & Harrity, November 8, 2011: US08055669 (35 worldwide citation)

A search query for a search engine may be improved by incorporating alternate terms into the search query that are semantically similar to terms of the search query, taking into account information derived from the search query. An initial set of alternate terms that may be semantically similar to t ...


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Amit Singhal, Mehran Sahami, John Lamping, Marcin Kaszkiel, Monika H Henzinger: Search queries improved based on query semantic information. Google, Fish & Richardson P C, November 5, 2013: US08577907 (32 worldwide citation)

A search query for a search engine may be improved by incorporating alternate terms into the search query that are semantically similar to terms of the search query, taking into account information derived from the search query. An initial set of alternate terms that may be semantically similar to t ...


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Krishna Bharat, Steve Lawrence, Mehran Sahami, Amit Singhal: Serving advertisements using user request information and user information. Google, John C Pokotylo, Straub & Pokotylo, January 8, 2013: US08352499 (25 worldwide citation)

Ads are scored using, at least, user information and information associated with a user request, such as a search query or a document request. The scores may be used in determining whether to serve ads, how to serve ads, to order ads, to filter ads, etc. Items of user information, request-associated ...


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Sugato Basu, Mikhail Bilenko, Mehran Sahami: Method and system to produce and train composite similarity functions for product normalization. Google, Morgan Lewis & Bockius, April 20, 2010: US07702631 (23 worldwide citation)

A method and system to produce and train composite similarity functions for record linkage problems, including product normalization problems, is disclosed. In one embodiment, for a group of products in a plurality of products, a composite similarity function is constructed for the group of products ...


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Mehran Sahami, Richard C Gossweiler III, John Blackburn, Manish G Patel, David A Brown, Neha Gupta, Thomas H Taylor: Aggregating media information. Google, Fish & Richardson P C, September 10, 2013: US08533761 (21 worldwide citation)

A computer-implemented method includes receiving a search request associated with media-related information, identifying a media-related object responsive to the request, and gathering from a plurality of different corpuses of information a plurality of search results associated with the media-relat ...