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Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing

Published: 20 July 2008 Publication History

Abstract

Traditional information retrieval models assume that users express their information needs via text queries (i.e., their "talk"). In this poster, we consider Web browsing behavior outside of interactions with retrieval systems (i.e., users' "walk") as an alternative source of signal describing users' information needs, and compare it to the query-expressed information needs on a large dataset. Our findings demonstrate that information needs expressed in different behavior modalities are largely non-overlapping, and that past behavior in each modality is the most accurate predictor of future behavior in that modality. Results also show that browsing data provides a stronger source of signal than search queries due to its greater volume, which explains previous work that has found implicit behavioral data to be a valuable source of information for user modeling and personalization.

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Cited By

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  • (2020)Personalization in text information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2423471:3(349-369)Online publication date: 28-Jan-2020
  • (2016)User-modeling and recommendation based on mouse-tracking for e-commerce websites2016 19th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCITECHN.2016.7860252(517-523)Online publication date: Dec-2016
  • (2016)An Ontology-Based Framework to Model User Interests2016 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI.2016.0082(398-403)Online publication date: Dec-2016
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  1. Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing

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      cover image ACM Conferences
      SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
      July 2008
      934 pages
      ISBN:9781605581644
      DOI:10.1145/1390334
      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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      Publication History

      Published: 20 July 2008

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      Author Tags

      1. personalization
      2. predictive user modeling
      3. user profiles

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

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      Cited By

      View all
      • (2020)Personalization in text information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2423471:3(349-369)Online publication date: 28-Jan-2020
      • (2016)User-modeling and recommendation based on mouse-tracking for e-commerce websites2016 19th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCITECHN.2016.7860252(517-523)Online publication date: Dec-2016
      • (2016)An Ontology-Based Framework to Model User Interests2016 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI.2016.0082(398-403)Online publication date: Dec-2016
      • (2011)Predictive client-side profiles for personalized advertisingProceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2020408.2020475(413-421)Online publication date: 21-Aug-2011
      • (2011)Result enrichment in commerce search using browse trailsProceedings of the fourth ACM international conference on Web search and data mining10.1145/1935826.1935874(267-276)Online publication date: 9-Feb-2011
      • (2011)A Timeline-Based Algorithm for Personalized Tag RecommendationWeb Information Systems Engineering – WISE 2010 Workshops10.1007/978-3-642-24396-7_30(378-389)Online publication date: 2011
      • (2010)A timeline-based algorithm for personalized tag recommendationProceedings of the 2010 international conference on Web information systems engineering10.5555/2044492.2044530(378-389)Online publication date: 12-Dec-2010
      • (2010)A characterization of online browsing behaviorProceedings of the 19th international conference on World wide web10.1145/1772690.1772748(561-570)Online publication date: 26-Apr-2010
      • (2010)BibliographyAn Introduction to Search Engines and Web Navigation10.1002/9780470874233.biblio(424-461)Online publication date: 4-Aug-2010
      • (2009)Predicting user interests from contextual informationProceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval10.1145/1571941.1572005(363-370)Online publication date: 19-Jul-2009
      • Show More Cited By

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