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Accurately interpreting clickthrough data as implicit feedback

Published:15 August 2005Publication History

ABSTRACT

This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users' decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences derived from clicks are reasonably accurate on average.

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      • Published in

        cover image ACM Conferences
        SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
        August 2005
        708 pages
        ISBN:1595930345
        DOI:10.1145/1076034

        Copyright © 2005 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 August 2005

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