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Community-based snippet-indexes for pseudo-anonymous personalization in web search

Published: 06 August 2006 Publication History

Abstract

We describe and evaluate an approach to personalizing Web search that involves post-processing the results returned by some underlying search engine so that they re .ect the interests of a community of like-minded searchers.To do this we leverage the search experiences of the community by mining the title and snippet texts of results that have been selected by community members in response to their queries. Our approach seeks to build a community-based snippet index that re .ects the evolving interests of a group of searchers. This index is then sed to re-rank the results returned by the underlying search engine by boosting the ranking of key results that have been freq ently selected for similar q eries by community members in the past.

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B. Smyth, E. Balfe, J. Freyne, P. Briggs, M. Coyle, and O. Boydell. Exploiting query repetition and regularity in an adaptive community-based web search engine. User Modeling and User-Adapted Interaction, 14(5):383--423, 2004.
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T. Sakai and K. Sparck-Jones. Generic summaries for indexing in information retrieval. In SIGIR '01: Proceedings of the 24th re-annual international ACM SIGIR conference on Research and development in information retrieval, pages 190--198, New York, NY, USA, 2001. ACM Press.
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  1. Community-based snippet-indexes for pseudo-anonymous personalization in web search

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        cover image ACM Conferences
        SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
        August 2006
        768 pages
        ISBN:1595933697
        DOI:10.1145/1148170
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        New York, NY, United States

        Publication History

        Published: 06 August 2006

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        Author Tags

        1. community
        2. personalization
        3. web search

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        SIGIR06
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        SIGIR06: The 29th Annual International SIGIR Conference
        August 6 - 11, 2006
        Washington, Seattle, USA

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        Overall Acceptance Rate 792 of 3,983 submissions, 20%

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