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  Exploiting Community Behavior for Enhanced Link Analysis and Web Search

Luxenburger, J., & Weikum, G.(2006). Exploiting Community Behavior for Enhanced Link Analysis and Web Search (DELIS-TR-0447). Paderborn, Germany: University of Paderborn, Heinz Nixdorf Institute.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-BC47-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-BC48-7
Genre: Report

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 Creators:
Luxenburger, Julia1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: Methods for Web link analysis and authority ranking such as PageRank are based on the assumption that a user endorses a Web page when creating a hyperlink to this page. There is a wealth of additional user-behavior information that could be considered for improving authority analysis, for example, the history of queries that a user community posed to a search engine over an extended time period, or observations about which query-result pages were clicked on and which ones were not clicked on after a user saw the summary snippets of the top-10 results. This paper enhances link analysis methods by incorporating additional user assessments based on query logs and click streams, including negative feedback when a query-result page does not satisfy the user demand or is even perceived as spam. Our methods use various novel forms of advanced Markov models whose states correspond to users and queries in addition to Web pages and whose links also reflect the relationships derived from query-result clicks, query refinements, and explicit ratings. Preliminary experiments are presented as a proof of concept.

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Language(s): eng - English
 Dates: 2006
 Publication Status: Issued
 Pages: -
 Publishing info: Paderborn, Germany : University of Paderborn, Heinz Nixdorf Institute
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: DELIS-TR-0447
BibTex Citekey: TechReportDelis0447_2006
 Degree: -

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