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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

PMSE: A Personalized Mobile Search Engine Using Content and Location Concept

Deepa S ^[13] | Arun P S

Abstract: Now a days there is A major problem in mobile search is that the interactions between the users and search engines are limited by the small form factors of the mobile devices. As a result; mobile users tend to submit shorter; hence; more ambiguous queries compared to their web search counterparts. In order to return highly relevant results to the users; mobile search engines must be able to profile the users interests and personalize the search results according to the users profiles. In this paper; A Personalized Mobile Search Engine (PMSE) using content and location concept; that captures users preferences in the form of concepts by mining their click through data. Due to the importance of location information in mobile search; PMSE classifies these concepts into content concepts and location concepts The user preferences are organized in an ontology-based user profile; which are used to adapt a personalized ranking function for rank adaptation of future search results.

Keywords: Clickthrough data, concept, locaton search, mobile search engine, personalization

Edition: Volume 3 Issue 6, June 2014,

Pages: 348 - 350

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