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
Karl Pfleger: Systems and methods for sorting and displaying search results in multiple dimensions. Google, Harrity & Harrity, February 9, 2010: US07660822 (47 worldwide citation)

A system plots results of a data search. The system executes one or more search queries to search stored data. The system receives results of the executed one or more search queries, where the results are orderable by at least one search characteristic. The system designates a visual representation ...


3
Karl Pfleger, Brian Larson: System and method for determining a composite score for categorized search results. Google, Fish & Richardson P C, October 12, 2010: US07814085 (33 worldwide citation)

A system and method for scoring documents is described. One or more documents are identified responsive to a search criteria. A text match score indicating a quality of match of the identified documents is determined. A category match score is determined over categories. A document-categories score ...


4
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 ...


5
Karl Pfleger: Query rewriting with entity detection. Google, Harrity & Harrity, August 9, 2011: US07996419 (17 worldwide citation)

A system determines whether a received search query includes an entity name, determines whether to rewrite the received search query based on information relating to prior searches involving the entity name, and rewrites the received search query when it is determined that the received search query ...


6
Matt Cutts, Jeffrey Dean, Paul Haahr, Monika Henzinger, Steve Lawrence, Karl Pfleger, Simon Tong: Document scoring based on document inception date. Google, Harrity & Harrity, November 23, 2010: US07840572 (12 worldwide citation)

A system may determine a document inception date associated with a document, generate a score for the document based, at least in part, on the document inception date, and rank the document with regard to at least one other document based, at least in part, on the score.


7
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 ...


8
Karl Pfleger: Query rewriting with entity detection. Google, Harrity & Harrity, August 27, 2013: US08521764 (10 worldwide citation)

A system determines whether a received search query includes an entity name, determines whether to rewrite the received search query based on information relating to prior searches involving the entity name, and rewrites the received search query when it is determined that the received search query ...


9
Anurag Acharya, Jeffrey Dean, Paul Haahr, Monika Henzinger, Steve Lawrence, Karl Pfleger, Simon Tong: Document scoring based on document content update. Google, Harrity & Harrity, October 1, 2013: US08549014 (6 worldwide citation)

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, ...


10
Karl Pfleger, Brian Larson: System and method for determining a composite score for categorized search results. Google, Fish & Richardson P C, March 27, 2012: US08145618 (6 worldwide citation)

A system and method for scoring documents is described. One or more documents are identified responsive to a search criteria. A text match score indicating a quality of match of the identified documents is determined. A category match score is determined over categories. A document-categories score ...