research-article

Learning user interests for a session-based personalized search

Authors:

Mariam Daoud,

Lynda Tamine-Lechani,

Mohand BoughanemAuthors Info & Claims

IIiX '08: Proceedings of the second international symposium on Information interaction in context

Pages 57 - 64

https://doi.org/10.1145/1414694.1414708

Published: 14 October 2008 Publication History

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Abstract

It is now widely assumed in personalized information retrieval (IR) area that user interests can provide substantial clues for document relevance estimation. User interests reflect generally the user background and topics of interests. However most of the proposed personalized retrieval models and strategies do not distinguish between short term and long term user interests and make use of the whole search history to improve the search accuracy. In this paper, we study how to learn long term user interests by aggregating concept-based short term ones identified within related search activities. For this purpose, we tackle the problem of session boundary recognition using context-sensitive similarity measures that are able to gauge the changes in the user interest topics with regard to reference ontology. Finally, the search personalization is achieved by re-ranking the search results for a given query using the short term user interest. Our experimental evaluation is carried out using TREC collection and shows that personalization brings significant improvements in retrieval effectiveness. Moreover, we observe that our context-sensitive session boundary recognition method can, to some extent, find a semantic correlation between the query and the user context across the search sessions.

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Cited By

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Zhao JHuang JDeng HChang YXia L(2021)Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search PersonalizationACM Transactions on Information Systems10.1145/347610640:3(1-24)Online publication date: 30-Dec-2021
https://dl.acm.org/doi/10.1145/3476106
Jiang JWu TRoumpos GCheng HYi XChi EGanapathy HJindal NCao PWang W(2020)End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing PlatformsProceedings of The Web Conference 202010.1145/3366423.3380051(2870-2877)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380051
Liu JLiu CBelkin N(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
https://dl.acm.org/doi/10.1002/asi.24234
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Index Terms

Learning user interests for a session-based personalized search
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

IIiX '08: Proceedings of the second international symposium on Information interaction in context

October 2008

173 pages

ISBN:9781605583105

DOI:10.1145/1414694

Editors:
Pia Borlund
Royal School of Library and Information Science, Denmark
,
Jesper W. Schneider
Royal School of Library and Information Science, Denmark
,
Mounia Lalmas
Queen Mary, University of London, UK
,
Anastasios Tombros
Queen Mary, University of London, UK
,
John Feather
Loughborough University, UK
,
Diane Kelly
University of North Carolina, USA
,
Arjen P. de Vries
CWI, The Netherlands

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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SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2008

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IIiX08

Sponsor:

British Computer Society

IIiX08: International Interaction in Context Symposium

October 14 - 17, 2008

London, United Kingdom

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Overall Acceptance Rate 21 of 45 submissions, 47%

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Cited By

View all

Zhao JHuang JDeng HChang YXia L(2021)Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search PersonalizationACM Transactions on Information Systems10.1145/347610640:3(1-24)Online publication date: 30-Dec-2021
https://dl.acm.org/doi/10.1145/3476106
Jiang JWu TRoumpos GCheng HYi XChi EGanapathy HJindal NCao PWang W(2020)End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing PlatformsProceedings of The Web Conference 202010.1145/3366423.3380051(2870-2877)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380051
Liu JLiu CBelkin N(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
https://dl.acm.org/doi/10.1002/asi.24234
Guo YCheng ZNie LWang YMa JKankanhalli M(2019)Attentive Long Short-Term Preference Modeling for Personalized Product SearchACM Transactions on Information Systems10.1145/329582237:2(1-27)Online publication date: 11-Jan-2019
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Verma DKochar BShishodia Y(2018)Optimized Multi-agent Personalized Search EngineEmerging Technologies in Data Mining and Information Security10.1007/978-981-13-1951-8_41(451-464)Online publication date: 12-Dec-2018
https://doi.org/10.1007/978-981-13-1951-8_41
Agarwal N(2017)Exploring Context in Information Behavior: Seeker, Situation, Surroundings, and Shared IdentitiesSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00807ED1V01Y201710ICR0619:7(i-163)Online publication date: 8-Dec-2017
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Hannech AAdda MMcheick H(2016)Cold-start recommendation strategy based on social graphs2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2016.7746324(1-7)Online publication date: Oct-2016
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Hannech AAdda MMcheick H(2016)Social data-based user profile enrichment2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2016.7746323(1-7)Online publication date: Oct-2016
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Hannech AAdda MMcheick H(2016)Recommendation Model Based on a Contextual Similarity Measure2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA.2016.0070(394-401)Online publication date: Dec-2016
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Hawalah AFasli M(2015)Dynamic user profiles for web personalisationExpert Systems with Applications: An International Journal10.1016/j.eswa.2014.10.03242:5(2547-2569)Online publication date: 1-Apr-2015
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