1
Krishna Bharat, Jeff Dean, Michael Curtiss, Amitabh Singhal, Michael Schmitt: Methods and apparatus for ranking documents. Google, Harrity & Harrity, January 3, 2012: US08090717 (72 worldwide citation)

Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sourc ...


2
Krishna Bharat, Michael Curtiss, Michael Schmitt: Methods and apparatus for clustering news content. Google, Harrity & Harrity, July 28, 2009: US07568148 (57 worldwide citation)

Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sourc ...


3
Soren Bogh Lassen, Sandhya Kunnatur, Michael Curtiss: Extract operator. Facebook, Baker Botts L, January 13, 2015: US08935271 (22 worldwide citation)

In one embodiment, a method includes receiving a search query requesting first search results of a first object type. The search query includes an inner query requesting second search results of a second object type. The method includes accessing an inverted index of a data store corresponding to th ...


4
Michael Curtiss: Ranking of documents based on analysis of related documents. Google, Harrity & Harrity, October 1, 2013: US08548995 (20 worldwide citation)

A ranking component refines an initial document ranking in which the initial ranking is based on a scoring criterion. The ranking component generates or receive a set of documents that are related to a document. The set of documents may be related in a number of ways, such as similarity in authorshi ...


5
Michael Curtiss, Krishna Bharat, Michael Schmitt: Systems and methods for improving the ranking of news articles. Google, Harrity & Harrity, August 18, 2009: US07577655 (17 worldwide citation)

A system ranks results. The system may receive a list of links. The system may identify a source with which each of the links is associated and rank the list of links based at least in part on a quality of the identified sources.


6
Hong Zhou, Krishna Bharat, Michael Schmitt, Michael Curtiss, Marissa Mayer: Query rewriting with entity detection. Google, Harrity & Harrity, May 28, 2013: US08452799 (16 worldwide citation)

A system receives a search query, determines whether the received search query includes an entity name, and determines whether the entity name is associated with a common word or phrase. When the entity name is associated with a common word or phrase, the system generates a link to a rewritten query ...


7
Hong Zhou, Krishna Bharat, Michael Schmitt, Michael Curtiss, Marissa Mayer: Query rewriting with entity detection. Google, Harrity & Harrity, May 19, 2009: US07536382 (12 worldwide citation)

A system receives a search query, determines whether the received search query includes an entity name, and determines whether the entity name is associated with a common word or phrase. When the entity name is associated with a common word or phrase, the system generates a link to a rewritten query ...


8
Krishna Bharat, Michael Curtiss, Duane Scott Hess, Kerah Pelczarski, Marissa Mayer: Systems and methods for browsing historical content. Google, Harrity & Harrity, March 6, 2012: US08131702 (12 worldwide citation)

A system graphically plots articles. The system executes one or more search queries to search stored articles and receives results of the executed one or more search queries, where the results identify selected articles of the stored articles. The system further designates a graphical marker for eac ...


9
Michael Curtiss, Krishna Bharat, Michael Schmitt: Systems and methods for improving the ranking of news articles. Google, Harrity & Harrity, February 28, 2012: US08126876 (9 worldwide citation)

A system ranks results. The system may receive a list of links. The system may identify a source with which each of the links is associated and rank the list of links based at least in part on a quality of the identified sources.


10
Hong Zhou, Krishna Bharat, Michael Schmitt, Michael Curtiss, Marissa Mayer: Query rewriting with entity detection. Google, Harrity & Harrity, February 7, 2012: US08112432 (8 worldwide citation)

A system receives a search query, determines whether the received search query includes an entity name, and determines whether the entity name is associated with a common word or phrase. When the entity name is associated with a common word or phrase, the system generates a link to a rewritten query ...