poster

Using a graph-based ontological user profile for personalizing search

Authors:

Mariam Daoud,

Lynda Tamine-Lechani,

Mohand BoughanemAuthors Info & Claims

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

Pages 1495 - 1496

https://doi.org/10.1145/1458082.1458352

Published: 26 October 2008 Publication History

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Abstract

In this poster, we describe a personalized search approach, which involves a graph based user profile issued from ontology and a session boundary recognition mechanism. The user profile refers to the short term user interest and is used for re-ranking the search results of queries in the same search session. The session boundary recognition is based on tracking changes in the dominant concepts held by the query and the user profile. Experimental evaluation was carried out using the HARD 2003 TREC collection and shows that our approach is effective.

References

[1]

M. Daoud, L. Tamine-Lechani, and M. Boughanem. Learning user interests for a session-based personalized search. In Proceedings of the the Second International IIiX Symposium (IIIX'08). To appear, London, U.K., 2008.

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[2]

S. Gauch, J. Chaffee, and A. Pretschner. Ontology-based personalized search and browsing. Web Intelli. and Agent Sys., 1(3-4):219--234, 2003.

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[3]

F. Liu, C. Yu, and W. Meng. Personalized web search for improving retrieval effectiveness. IEEE Transactions on Knowledge and Data Engineering, 16(1):28--40, 2004.

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[4]

X. Shen, B. Tan, and C. Zhai. Context-sensitive information retrieval using implicit feedback. In the international ACM SIGIR conference on Research and development in information retrieval, pages 43--50, New York, NY, USA, 2005. ACM.

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Cited By

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Chawla S(2018)Multi-Agent-Based Information Retrieval System Using Information Scent in Query Log Mining for Effective Web SearchInformation Retrieval and Management10.4018/978-1-5225-5191-1.ch012(266-291)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5191-1.ch012
Tamine LDaoud M(2018)Evaluation in Contextual Information RetrievalACM Computing Surveys10.1145/320494051:4(1-36)Online publication date: 25-Jul-2018
https://dl.acm.org/doi/10.1145/3204940
Chawla S(2017)Multi-Agent-Based Information Retrieval System Using Information Scent in Query Log Mining for Effective Web SearchWeb Data Mining and the Development of Knowledge-Based Decision Support Systems10.4018/978-1-5225-1877-8.ch008(131-156)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1877-8.ch008
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Index Terms

Using a graph-based ontological user profile for personalizing search
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

October 2008

1562 pages

ISBN:9781595939913

DOI:10.1145/1458082

General Chair:
James G. Shanahan
Church and Duncan Group Inc, USA
,
Program Chairs:
Sihem Amer-Yahia
Yahoo! Research, USA
,
Ioana Manolescu
INRIA, France
,
Yi Zhang
University of California, Santa Cruz, USA
,
David A. Evans
JustSystems Evans Research, USA
,
Alek Kolcz
Microsoft Live Labs, USA
,
Key-Sun Choi
KAIST, Korea
,
Abdur Chowdury
Twitter, USA

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

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CIKM08

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CIKM08: Conference on Information and Knowledge Management

October 26 - 30, 2008

California, Napa Valley, USA

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

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The 34th ACM International Conference on Information and Knowledge Management

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Cited By

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Chawla S(2018)Multi-Agent-Based Information Retrieval System Using Information Scent in Query Log Mining for Effective Web SearchInformation Retrieval and Management10.4018/978-1-5225-5191-1.ch012(266-291)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5191-1.ch012
Tamine LDaoud M(2018)Evaluation in Contextual Information RetrievalACM Computing Surveys10.1145/320494051:4(1-36)Online publication date: 25-Jul-2018
https://dl.acm.org/doi/10.1145/3204940
Chawla S(2017)Multi-Agent-Based Information Retrieval System Using Information Scent in Query Log Mining for Effective Web SearchWeb Data Mining and the Development of Knowledge-Based Decision Support Systems10.4018/978-1-5225-1877-8.ch008(131-156)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1877-8.ch008
Mianowska BNguyen N(2010)A framework of an agent-based personal assistant for internet usersProceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I10.5555/1883838.1883860(163-172)Online publication date: 23-Jun-2010
https://dl.acm.org/doi/10.5555/1883838.1883860
Mianowska BNguyen N(2010)A Framework of an Agent-Based Personal Assistant for Internet UsersAgent and Multi-Agent Systems: Technologies and Applications10.1007/978-3-642-13480-7_18(163-172)Online publication date: 2010
https://doi.org/10.1007/978-3-642-13480-7_18

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