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Re-examining search result snippet examination time for relevance estimation

Published:12 August 2012Publication History

ABSTRACT

Previous studies of web search result examination have provided valuable insights in understanding and modelling searcher behavior. Yet, recent work (e.g., [3]) has been developed based on the assumption that the time a searcher spends examining a particular result abstract or snippet, correlates with result relevance. While this idea is intuitively attractive, to the best of our knowledge it has not been empirically tested. This poster investigates this hypothesis empirically, in a controlled setting, using eye tracking equipment to compare search result examination time with result relevance. Interestingly, while we replicate previous findings showing examination time to be indicative of whole-page relevance, we find that viewing time of individual results alone is a poor indicator of either absolute result relevance or even of pairwise preferences. Our results should not be taken as negating the usefulness of modeling searcher examination behavior, but rather to emphasize that snippet examination time is not in itself a good indicator of relevance.

References

  1. G. Buscher, A. Dengel, R. Biedert, and L. V. Elst. Attentive documents: Eye tracking as implicit feedback for information retrieval and beyond. ACM Trans. Interact. Intell. Syst., 1(2):9:1--9:30, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Z. Guan and E. Cutrell. An eye tracking study of the effect of target rank on web search. In Proc. of CHI, pages 417--420, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Y. He and K. Wang. Inferring search behaviors using partially observable markov model with duration (pomd). In Proc. of WSDM, pages 415--424, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. T. Joachims, L. Granka, B. Pan, H. Hembrooke, F. Radlinski, and G. Gay. Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search. ACM TOIS, 25(2):7, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D. Lagun and E. Agichtein. Viewser: enabling large-scale remote user studies of web search examination and interaction. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information, pages 365--374. ACM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
      August 2012
      1236 pages
      ISBN:9781450314725
      DOI:10.1145/2348283

      Copyright © 2012 Authors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 August 2012

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