1
Anurag Acharya, Matt Cutts, Jeffrey Dean, Paul Haahr, Monika Henzinger, Urs Hoelzle, Steve Lawrence, Karl Pfleger, Olcan Sercinoglu, Simon Tong: Information retrieval based on historical data. Google, Harrity Snyder, March 18, 2008: US07346839 (105 worldwide citation)

A system identifies a document and obtains one or more types of history data associated with the document. The system may generate a score for the document based, at least in part, on the one or more types of history data.


2
Jeffrey Dean, Paul Haahr, Monika Henzinger, Steve Lawrence, Karl Pfleger, Olcan Sercinoglu, Simon Tong: Document ranking based on document classification. Google, Harrity & Harrity, July 17, 2012: US08224827 (30 worldwide citation)

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the ...


3
Jeffrey Dean, Gautham K Thambidorai, Sanjay Ghemawat, Benedict Anthony Gomes, Olcan Sercinoglu: Document compression system and method for use with tokenspace repository. Google, Morgan Lewis & Bockius, March 29, 2011: US07917480 (14 worldwide citation)

The disclosed embodiments enable multi-stage query scoring, including “snippet” generation, through incremental document reconstruction facilitated by a multi-tiered mapping scheme. The mapping scheme includes a first mapping between unique tokens contained in a set of documents and unique global to ...


4
Jeffrey Dean, Paul Haahr, Monika Henzinger, Steve Lawrence, Karl Pfleger, Olcan Sercinoglu, Simon Tong: Document scoring based on query analysis. Google, Harrity & Harrity, November 1, 2011: US08051071 (11 worldwide citation)

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the ...


5
Olcan Sercinoglu: Document compression scheme that supports searching and partial decompression. Park Vaughan & Fleming, January 15, 2008: US07319994 (10 worldwide citation)

One embodiment of the present invention provides a system that facilitates accessing a compressed representation of a set of documents, wherein the compressed representation supports searching and partial decompression. During operation, the system receives a search request containing terms to be se ...


6
Jeffrey Dean, Michael Burrows, Gauthaum K Thambidorai, Olcan Sercinoglu: System and method for encoding and decoding variable-length data. Google, Morgan Lewis & Bockius, June 27, 2006: US07068192 (9 worldwide citation)

A system and method for encoding and decoding variable-length data includes storing data values in a data structure including a data field and a tag field. The data field includes one or more variable-length data subfields capable of storing variable-length data (e.g., 1 to N bytes of data). In some ...


7
Olcan Sercinoglu, Artem Boytsov, Jeffrey A Dean: Systems and methods for generating statistics from search engine query logs. Google, Morgan Lewis & Bockius, February 28, 2012: US08126874 (7 worldwide citation)

A computer-implemented method includes calculating first statistics about a user-identified event within a first subset of a database of events; selecting a second subset of the database of events based on said first statistics; calculating second statistics about the user-identified event within th ...


8
Jeffrey Dean, Paul Haahr, Monika Henzinger, Steve Lawrence, Karl Pfleger, Olcan Sercinoglu, Simon Tong: Document scoring based on query analysis. Google, Harrity & Harrity, January 28, 2014: US08639690 (4 worldwide citation)

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the ...


9
Jeffrey Adgate Dean, Paul G Haahr, Olcan Sercinoglu, Amitabh K Singhal: Multi-stage query processing system and method for use with tokenspace repository. Google, Morgan Lewis & Bockius, March 26, 2013: US08407239 (4 worldwide citation)

A multi-stage query processing system and method enables multi-stage query scoring, including “snippet” generation, through incremental document reconstruction facilitated by a multi-tiered mapping scheme. At one or more stages of a multi-stage query processing system a set of relevancy scores are u ...


10
Jeffrey Dean, Paul Haahr, Monika Henzinger, Steve Lawrence, Karl Pfleger, Olcan Sercinoglu, Simon Tong: Document scoring based on query analysis. Google, Harrity & Harrity, September 11, 2012: US08266143 (3 worldwide citation)

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the ...