research-article

Mobile web search personalization using ontological user profile

Authors:

Kapil Goenka,

I. Budak Arpinar,

Mustafa NuralAuthors Info & Claims

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

Article No.: 13, Pages 1 - 6

https://doi.org/10.1145/1900008.1900028

Published: 15 April 2010 Publication History

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Abstract

Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They do not take the user!s interests and preferences into account in the retrieval process. Integrating user context in the retrieval process can help deliver more targeted search results, thereby providing a personalized search experience to the user. Personalizing web search involves the process of identifying user interests during interaction with the user, and then using that information to deliver results that are more relevant to the user. In this paper, we present our approach to personalizing web search on a mobile device (iPhone). Our approach involves building an ontological model of user interests on the user!s mobile device based on his interaction with web search results. Personalization of search results is achieved by re-ranking search results returned by a standard search engine (Yahoo) based on proximity to the user!s interest model. The ability to recognize user interests in a completely non-invasive way and the accuracy of personalized results are some of the major advantages of our approach.

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Cited By

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Ahamed BRamkumar T(2016)An intelligent web search framework for performing efficient retrieval of dataComputers and Electrical Engineering10.1016/j.compeleceng.2016.09.03356:C(289-299)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.compeleceng.2016.09.033
Pu QLbath AHe D(2013)Mobile Geographic Web Search Personalization with Language ModelApplied Mechanics and Materials10.4028/www.scientific.net/AMM.303-306.1420303-306(1420-1425)Online publication date: Feb-2013
https://doi.org/10.4028/www.scientific.net/AMM.303-306.1420
Bouneffouf DBouzeghoub AGançarski A(2013)Contextual Bandits for Context-Based Information RetrievalProceedings, Part II, of the 20th International Conference on Neural Information Processing - Volume 822710.1007/978-3-642-42042-9_5(35-42)Online publication date: 3-Nov-2013
https://dl.acm.org/doi/10.1007/978-3-642-42042-9_5
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Published In

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

April 2010

488 pages

ISBN:9781450300643

DOI:10.1145/1900008

Conference Chair:
H. Conrad Cunningham
University of Mississippi
,
Program Chairs:
Paul Ruth,
Nicholas A. Kraft

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: 15 April 2010

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ACM SE '10

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ACM SE '10: ACM Southeast Regional Conference

April 15 - 17, 2010

Mississippi, Oxford

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ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

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Ahamed BRamkumar T(2016)An intelligent web search framework for performing efficient retrieval of dataComputers and Electrical Engineering10.1016/j.compeleceng.2016.09.03356:C(289-299)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.compeleceng.2016.09.033
Pu QLbath AHe D(2013)Mobile Geographic Web Search Personalization with Language ModelApplied Mechanics and Materials10.4028/www.scientific.net/AMM.303-306.1420303-306(1420-1425)Online publication date: Feb-2013
https://doi.org/10.4028/www.scientific.net/AMM.303-306.1420
Bouneffouf DBouzeghoub AGançarski A(2013)Contextual Bandits for Context-Based Information RetrievalProceedings, Part II, of the 20th International Conference on Neural Information Processing - Volume 822710.1007/978-3-642-42042-9_5(35-42)Online publication date: 3-Nov-2013
https://dl.acm.org/doi/10.1007/978-3-642-42042-9_5
Bouidghaghen OTamine-Lechani LPasi GCabanac GBoughanem Mda Costa Pereira C(2011)Prioritized aggregation of multiple context dimensions in mobile IRProceedings of the 7th Asia conference on Information Retrieval Technology10.1007/978-3-642-25631-8_16(169-180)Online publication date: 18-Dec-2011
https://dl.acm.org/doi/10.1007/978-3-642-25631-8_16

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Web search personalization with ontological user profiles

Implicitly Learning a User Interest Profile for Personalization of Web Search Using Collaborative Filtering

Context-aware search personalization with concept preference