NDLI: Personalizing Mobile Web Search for Location Sensitive Queries

Content Provider	IEEE Xplore Digital Library
Author	Bouidghaghen, O. Tamine, L. Boughanem, M.
Copyright Year	2011
Abstract	General Web search engines characterized by "onesize fits all" provide the same results for the same keyword queries even though these latter are submitted by different users with different intentions. In mobile Web search, the expected results for some queries could vary depending upon the user'slocation. We believe that identifying user's geographic intent in Web search can help to personalize search results by ranking local search results higher in the search results lists. Therefore, the objective of this paper is twofold: first to identify whether a mobile user query is location sensitive and second to personalize Web search results for these queries. In order to achieve these objectives, we propose to build a location language model for queries as a location query profile. Based on this latter, we compute two features issued from the domains of probability theory and Information theory, namely the Kurtosis and Kullback-Leibler Divergence measures in order to automatically classify location sensitive queries. The classification scheme is then integrated into a personalization process according to two approaches: refinement and re-ranking. Experimental evaluation using a sample of queries from AOL log and top documents returned by Google search, shows that the proposed model achieves high accuracy in identifying local sensitive queries and shows significant improvement on search relevance when integrated to a search engine.
Starting Page	110
Ending Page	118
File Size	440916
Page Count	9
File Format	PDF
ISBN	9781457705816
e-ISBN	9780769544366
DOI	10.1109/MDM.2011.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-06
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web search Mobile communication Sensitivity Google Cities and towns Engines Search engines evaluation Mobile IR location sensitivity query profile personalization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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