K
Karl Pfleger
Researcher at Google
Publications - 17
Citations - 856
Karl Pfleger is an academic researcher from Google. The author has contributed to research in topics: Rank (computer programming) & Web search query. The author has an hindex of 10, co-authored 17 publications receiving 856 citations.
Papers
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Patent
Information retrieval based on historical data
Anurag Acharya,Matt Cutts,Jeffrey Dean,Paul Haahr,Monika Henzinger,Urs Hoelzle,Steve Lawrence,Karl Pfleger,Olcan Sercinoglu,Simon Tong +9 more
TL;DR: In this paper, a system (125) identifies a document and obtains one or more types of history data associated with the document, and generates a score for the document based on at least part of the history data.
Patent
Adjusting Bids Based on Predicted Performance
Andrew E. Silverman,Abhinay Sharma,James Gallagher,Tomas Lloret Llinares,Scott S. Benson,Karl Pfleger,Adrian Dumitru Corduneanu +6 more
TL;DR: In this article, a candidate advertisement in an advertising slot can be received and compared to a baseline predicted performance metric for the candidate advertisement, and the adjusted bid can be submitted to an auction for the advertising slot.
Patent
Systems and methods for sorting and displaying search results in multiple dimensions
TL;DR: In this article, a system plots results of a data search on a multi-dimensional graphical display, where at least one dimension of the graphical display corresponds to the at least 1 search characteristic.
Patent
System and method for determining a composite score for categorized search results
Karl Pfleger,Brian Larson +1 more
TL;DR: In this paper, a system and method for scoring documents is described, where one or more documents are identified responsive to a search criteria and a text match score indicating a quality of match of the identified documents is determined.
Patent
Document scoring based on query analysis
Jeffrey Dean,Paul Haahr,Monika Henzinger,Steve Lawrence,Karl Pfleger,Olcan Sercinoglu,Simon Tong +6 more
TL;DR: In this paper, 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 degree to which the document was selected, and rank the document with regard to at least one other document based on the score.