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Unformatted text preview: Web Search Personalization with Ontological User Profiles Ahu Sieg [email protected] Bamshad Mobasher [email protected] Robin Burke [email protected] Center for Web Intelligence School of Computer Science, Telecommunication and Information Systems DePaul University 243 South Wabash Avenue Chicago, Illinois, 60604, USA ABSTRACT Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particular user based on that user’s interests and prefer- ences. Effective personalization of information access in- volves two important challenges: accurately identifying the user context and organizing the information in such a way that matches the particular context. We present an ap- proach to personalized search that involves building models of user context as ontological profiles by assigning implicitly derived interest scores to existing concepts in a domain on- tology. A spreading activation algorithm is used to maintain the interest scores based on the user’s ongoing behavior. Our experiments show that re-ranking the search results based on the interest scores and the semantic evidence in an onto- logical user profile is effective in presenting the most relevant results to the user. Categories and Subject Descriptors H.3.3 [ Information Systems ]: Information Storage and Retrieval— Information Search and Retrieval General Terms Algorithms, Experimentation Keywords Search Personalization, Ontological User Profiles, User Con- text 1. INTRODUCTION Web personalization alleviates the burden of information overload by tailoring the information presented based on an individual user’s needs. Every user has a specific goal when searching for information through entering keyword 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. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. CIKM’07, November 6–8, 2007, Lisboa, Portugal. Copyright 2007 ACM 978-1-59593-803-9/07/0011 ... $ 5.00. queries into a search engine. Keyword queries are inherently ambiguous but often formulated while the user is engaged in some larger task . For example, a historian may enter the query Madonna and child while browsing Web pages about art history, while a music fan may issue the same query to look for updates on the famous pop star. In recent years, personalized search has attracted interest in the research community as a means to decrease search ambiguity and return results that are more likely to be in- teresting to a particular user and thus providing more effec- tive and efficient information access [29, 1, 4]. One of the key factors for accurate personalized information access is...
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This note was uploaded on 02/10/2012 for the course CSE 5800 taught by Professor Staff during the Fall '09 term at FIT.
- Fall '09
- Computer Science