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Web search personalization with ontological user profiles

Sieg, Ahu, Mobasher, Bamshad, Burke, Robin·2007·Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

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 preferences. Effective personalization of information access involves two important challenges: accurately identifying the user context and organizing the information in such a way that matches the particular context. We present an approach 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 ontology. 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 ontological user profile is effective in presenting the most relevant results to the user.

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Metadata

Authors
Sieg, A., Mobasher, B., & Burke, R.
Venue
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Publisher
ACM
Published
2007-11-06
Pages
525-534
OpenAlex
W2145413874
Cited by
324
References
1
FWCI
14.30
Type
conference paper
Language
en
Open access
closed

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