research-article

Web search personalization with ontological user profiles

Authors:

Bamshad Mobasher,

Robin BurkeAuthors Info & Claims

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Pages 525 - 534

https://doi.org/10.1145/1321440.1321515

Published: 06 November 2007 Publication History

Abstract

Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. Effective personalization of information access involves two important challenges: accurately identifying the user context and organizing the information in such a way that matches the particular context. We present an approach to personalized search that involves building models of user context as ontological profiles by assigning implicitly derived interest scores to existing concepts in a domain ontology. A spreading activation algorithm is used to maintain the interest scores based on the user's ongoing behavior. Our experiments show that re-ranking the search results based on the interest scores and the semantic evidence in an ontological user profile is effective in presenting the most relevant results to the user.

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Cited By

Meng YLi RQin HWu XDuan HLu YWang G(2024)Encoding Group Interests With Persistent Homology for Personalized SearchIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2024.341002954:9(5606-5616)Online publication date: Sep-2024
https://doi.org/10.1109/TSMC.2024.3410029
Wang SZhang HYuan Z(2024)Enhancing Sequence Representation for Personalized SearchChinese Computational Linguistics10.1007/978-981-97-8367-0_2(19-36)Online publication date: 25-Jul-2024
https://dl.acm.org/doi/10.1007/978-981-97-8367-0_2
Ai QDou ZZhang M(2024)Improving Generative Information Retrieval Systems Based on User FeedbackInformation Access in the Era of Generative AI10.1007/978-3-031-73147-1_5(111-133)Online publication date: 12-Sep-2024
https://doi.org/10.1007/978-3-031-73147-1_5
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Index Terms

Web search personalization with ontological user profiles
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

November 2007

1048 pages

ISBN:9781595938039

DOI:10.1145/1321440

Co-chair:
Alberto H. F. Laender,
Conference Chairs:
André O. Falcão
Universidade de Lisboa, Portugal
,
Øystein Haug Olsen,
General Chair:
Mário J. Silva
(Universidade de Lisboa, Portugal)
,
Program Chairs:
Ricardo Baeza-Yates,
Deborah L. McGuinness,
Bjorn Olstad

Copyright © 2007 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: 06 November 2007

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November 6 - 10, 2007

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

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Cited By

Meng YLi RQin HWu XDuan HLu YWang G(2024)Encoding Group Interests With Persistent Homology for Personalized SearchIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2024.341002954:9(5606-5616)Online publication date: Sep-2024
https://doi.org/10.1109/TSMC.2024.3410029
Wang SZhang HYuan Z(2024)Enhancing Sequence Representation for Personalized SearchChinese Computational Linguistics10.1007/978-981-97-8367-0_2(19-36)Online publication date: 25-Jul-2024
https://dl.acm.org/doi/10.1007/978-981-97-8367-0_2
Ai QDou ZZhang M(2024)Improving Generative Information Retrieval Systems Based on User FeedbackInformation Access in the Era of Generative AI10.1007/978-3-031-73147-1_5(111-133)Online publication date: 12-Sep-2024
https://doi.org/10.1007/978-3-031-73147-1_5
Le NAbel MGouspillou P(2024)Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales DomainAdvances in Information Systems, Artificial Intelligence and Knowledge Management10.1007/978-3-031-51664-1_14(197-212)Online publication date: 20-Jan-2024
https://doi.org/10.1007/978-3-031-51664-1_14
Peikos GPasi G(2024)A systematic review of multidimensional relevance estimation in information retrievalWIREs Data Mining and Knowledge Discovery10.1002/widm.154114:5Online publication date: 7-May-2024
https://doi.org/10.1002/widm.1541
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
Van Gysel CChen HDuh WHuang HKato MMothe JPoblete B(2023)Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and OpportunitiesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591849(3335-3338)Online publication date: 19-Jul-2023
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Cataldi MDi Caro LSchifanella C(2022)SIDEWAYS-2022 @ HT-2022: 7th International Workshop on Social Media World SensorsProceedings of the 7th International Workshop on Social Media World Sensors10.1145/3544795.3544844(1-4)Online publication date: 28-Jun-2022
https://dl.acm.org/doi/10.1145/3544795.3544844
Di Caro LSchifanella CCataldi MBellogín ABoratto LCena F(2022)SIDEWAYS-2022 @ HT-2022: 7th International Workshop on Social Media World SensorsProceedings of the 33rd ACM Conference on Hypertext and Social Media10.1145/3511095.3532573(265-268)Online publication date: 28-Jun-2022
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Deng CZhou YDou ZSelcuk Candan KLiu HAkoglu LLuna Dong XTang J(2022)Improving Personalized Search with Dual-Feedback NetworkProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498447(210-218)Online publication date: 11-Feb-2022
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