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
Jeremy Bem, Georges R Harik, Joshua L Levenberg, Noam Shazeer, Simon Tong: Ranking documents based on large data sets. Google, Harrity Snyder, June 12, 2007: US07231399 (86 worldwide citation)

A system ranks documents based, at least in part, on a ranking model. The ranking model may be generated to predict the likelihood that a document will be selected. The system may receive a search query and identify documents relating to the search query. The system may then rank the documents based ...


3
Jeremy Bem, Georges R Harik, Joshua L Levenberg, Noam Shazeer, Simon Tong: Large scale machine learning systems and methods. Google, Harrity Snyder, May 22, 2007: US07222127 (69 worldwide citation)

A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively ...


4
Simon Tong: Document similarity detection. Google, Harrity & Harrity, June 8, 2010: US07734627 (43 worldwide citation)

A similarity detector detects similar or near duplicate occurrences of a document. The similarity detector determines similarity of documents by characterizing the documents as clusters each made up of a set of term entries, such as pairs of terms. A pair of terms, for example, indicates that the fi ...


5
Simon Tong, Benjamin N Lee, Eric E Altendorf: Generating a related set of documents for an initial set of documents. Google, Fish & Richardson P C, May 21, 2013: US08447760 (35 worldwide citation)

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying one or more second documents related to one or more first documents. Strength of relationship scores between candidate documents in a group of candidate documents and each first document a ...


6
Simon Tong, Mark Pearson, Sergey Brin: Methods and systems for improving a search ranking using related queries. Google, Fish & Richardson P C, March 17, 2009: US07505964 (33 worldwide citation)

Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a related query related to the search query is determined, an article (such as a web page) associated with t ...


7
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 ...


8
Simon Tong, Mark Pearson, Sergey Brin: Methods and systems for improving a search ranking using related queries. Google, Fish & Richardson P C, September 20, 2011: US08024326 (29 worldwide citation)

Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a related query related to the search query is determined, an article (such as a web page) associated with t ...


9
Vineet Gupta, Ben Gomes, John Lamping, Mizuki McGrath, Amit Singhal, Simon Tong: System and method for providing preferred country biasing of search results. Google, Harrity & Harrity, November 11, 2008: US07451130 (29 worldwide citation)

A system and method for providing preferred country ordering of search results is described. A search query describing potentially retrievable information provided in a plurality of search result countries is received. A search is executed by evaluating the search query against information character ...


10
Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker: Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems. Google, Harrity Snyder, August 5, 2008: US07409383 (28 worldwide citation)

A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on t ...