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Evaluating sources of implicit feedback in web searches

Published: 19 October 2007 Publication History

Abstract

The study investigates the relationship between the types of behavior that can be captured from Web searches and searchers' interests. Web search cases which involve underspecification of information needs at the beginning and modification of search strategies during the search process will be collected and examined by human analysts. The study focuses on identifying the rules used by analysts to infer searcher interests. These rules can be put into algorithms as the basis for systems that provide query modification suggestions or implicitly reformulate the query as the searcher continues to work.

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  • (2016)A hybrid recommendation system for news in a mobile environmentProceedings of the 6th International Conference on Web Intelligence, Mining and Semantics10.1145/2912845.2912852(1-9)Online publication date: 13-Jun-2016
  • (2011)A human-centric integrated approach to web information search and sharingHuman-centric Computing and Information Sciences10.1186/2192-1962-1-21:1Online publication date: 22-Nov-2011
  • (2009)User-oriented document summarization through vision-based eye-trackingProceedings of the 14th international conference on Intelligent user interfaces10.1145/1502650.1502656(7-16)Online publication date: 8-Feb-2009
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    cover image ACM Conferences
    RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems
    October 2007
    222 pages
    ISBN:9781595937308
    DOI:10.1145/1297231
    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: 19 October 2007

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    Author Tags

    1. implicit feedback
    2. query recommendation
    3. user study

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    RecSys07: ACM Conference on Recommender Systems
    October 19 - 20, 2007
    MN, Minneapolis, USA

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    Overall Acceptance Rate 254 of 1,295 submissions, 20%

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    Cited By

    View all
    • (2016)A hybrid recommendation system for news in a mobile environmentProceedings of the 6th International Conference on Web Intelligence, Mining and Semantics10.1145/2912845.2912852(1-9)Online publication date: 13-Jun-2016
    • (2011)A human-centric integrated approach to web information search and sharingHuman-centric Computing and Information Sciences10.1186/2192-1962-1-21:1Online publication date: 22-Nov-2011
    • (2009)User-oriented document summarization through vision-based eye-trackingProceedings of the 14th international conference on Intelligent user interfaces10.1145/1502650.1502656(7-16)Online publication date: 8-Feb-2009
    • (2009)Towards a model of implicit feedback for Web searchJournal of the American Society for Information Science and Technology10.1002/asi.2119861:1(30-49)Online publication date: 9-Dec-2009
    • (2008)A user-oriented webpage ranking algorithm based on user attention timeProceedings of the 23rd national conference on Artificial intelligence - Volume 210.5555/1620163.1620268(1255-1260)Online publication date: 13-Jul-2008
    • (2008)Personalized online document, image and video recommendation via commodity eye-trackingProceedings of the 2008 ACM conference on Recommender systems10.1145/1454008.1454023(83-90)Online publication date: 23-Oct-2008
    • (2008)A Procedure of How to Conduct Research in Transparent Mobile RecommendationsTowards Sustainable Society on Ubiquitous Networks10.1007/978-0-387-85691-9_5(49-60)Online publication date: 2008

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