Ranking for Informational and Unpopular Search Queries by Cumulating Click Relevance

One embodiment accesses a search query and one or more sets of clicked network resources corresponding to the search query; determines a classifier model that represents the sets of clicked network resources that each satisfy the information need of one of the users and one or more subsets of the se...

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Bibliographic Details
Main Authors DUPRET GEORGES-ERIC ALBERT MARIE ROBERT, LIAO CIYA
Format Patent
LanguageEnglish
Published 04.08.2011
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:One embodiment accesses a search query and one or more sets of clicked network resources corresponding to the search query; determines a classifier model that represents the sets of clicked network resources that each satisfy the information need of one of the users and one or more subsets of the sets of clicked network resources that each do not satisfy the information need of one of the users; computes a probability value for each clicked network resource from each of the sets of clicked network resources using the classier model, wherein the probability value represents a likelihood that, after clicking on the corresponding network resource, the particular one of the users conducting the corresponding particular one of the search sessions ends the search session; and forms a set of features comprising the probability values computed for network resources from the search sessions.
Bibliography:Application Number: US20100697096