Accurately interpreting clickthrough data as implicit feedback

Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Geri Gay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

805 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationSIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages154-161
Number of pages8
DOIs
StatePublished - 2005
Event28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 - Salvador, Brazil
Duration: Aug 15 2005Aug 19 2005

Publication series

NameSIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005
CountryBrazil
CitySalvador
Period8/15/058/19/05

All Science Journal Classification (ASJC) codes

  • Information Systems

Fingerprint Dive into the research topics of 'Accurately interpreting clickthrough data as implicit feedback'. Together they form a unique fingerprint.

Cite this