Article

Implicit user modeling for personalized search

Authors:

ChengXiang ZhaiAuthors Info & Claims

CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management

Pages 824 - 831

https://doi.org/10.1145/1099554.1099747

Published: 31 October 2005 Publication History

Abstract

Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a tourist and a programmer may use the same word "java" to search for different information, but the current search systems would return the same results. In this paper, we study how to infer a user's interest from the user's search context and use the inferred implicit user model for personalized search. We present a decision theoretic framework and develop techniques for implicit user modeling in information retrieval. We develop an intelligent client-side web search agent (UCAIR) that can perform eager implicit feedback, e.g., query expansion based on previous queries and immediate result reranking based on clickthrough information. Experiments on web search show that our search agent can improve search accuracy over the popular Google search engine.

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Cited By

Chatur PJain NTrivedi VDhoot AMuthiah S(2024)Google Search in India: Unveiling the Geo-Personalized WebProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632420(403-411)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1145/3632410.3632420
Zeng HHe ZYue ZMcAuley JWang DHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Fair Sequential Recommendation without User DemographicsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657703(395-404)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657703
Nam DMacvean AMyers BVasilescu B(2024)Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud ServicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642721(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642721
Show More Cited By

Index Terms

Implicit user modeling for personalized search
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management

October 2005

854 pages

ISBN:1595931406

DOI:10.1145/1099554

General Chair:
Otthein Herzog
University of Bremen, Germany
,
Program Chairs:
Hans-Jörg Schek
University for Health Sciences, Medical Informatics and Technology, Austria
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Abdur Chowdhury
America Online, USA
,
Wilfried Teiken
IBM T.J. Watson Research Center, USA

Copyright © 2005 ACM.

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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Published: 31 October 2005

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October 31 - November 5, 2005

Bremen, Germany

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CIKM '05 Paper Acceptance Rate 77 of 425 submissions, 18%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Chatur PJain NTrivedi VDhoot AMuthiah S(2024)Google Search in India: Unveiling the Geo-Personalized WebProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632420(403-411)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1145/3632410.3632420
Zeng HHe ZYue ZMcAuley JWang DHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Fair Sequential Recommendation without User DemographicsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657703(395-404)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657703
Nam DMacvean AMyers BVasilescu B(2024)Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud ServicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642721(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642721
Camps JOltra V(2024)Is Google driving us dumb? The introspective loopingInnovation: The European Journal of Social Science Research10.1080/13511610.2024.2381579(1-16)Online publication date: 30-Jul-2024
https://doi.org/10.1080/13511610.2024.2381579
Skjæveland MBalog KBernard NŁajewska WLinjordet T(2024)An ecosystem for personal knowledge graphs: A survey and research roadmapAI Open10.1016/j.aiopen.2024.01.0035(55-69)Online publication date: 2024
https://doi.org/10.1016/j.aiopen.2024.01.003
Pera MCena FLandoni MMusto CStarke A(2024)Human Factors in User Modeling for Intelligent SystemsA Human-Centered Perspective of Intelligent Personalized Environments and Systems10.1007/978-3-031-55109-3_1(3-42)Online publication date: 1-May-2024
https://doi.org/10.1007/978-3-031-55109-3_1
Bassani ETonellotto NPasi G(2023)Personalized Query Expansion with Contextual Word EmbeddingsACM Transactions on Information Systems10.1145/362498842:2(1-35)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3624988
Choi DXiang AOzturk OShrestha DDrake BHaidarian HJaved FPark HFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Patient Clustering via Integrated Profiling of Clinical and Digital DataProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615262(3818-3822)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615262
Liu QWu JHuang ZWang HNing YChen MChen EYi JZhou B(2023)Federated User Modeling from Hierarchical InformationACM Transactions on Information Systems10.1145/356048541:2(1-33)Online publication date: 3-Apr-2023
https://dl.acm.org/doi/10.1145/3560485
Wang SDou ZYao JZhou YWen J(2023)Incorporating Explicit Subtopics in Personalized SearchProceedings of the ACM Web Conference 202310.1145/3543507.3583488(3364-3374)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583488
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