An inductive search system: Theory, design, and implementation
IEEE Transactions on Systems, Man and Cybernetics
Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
The anatomy of a large-scale hypertextual Web search engine
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ACM SIGKDD Explorations Newsletter
Working Knowledge: How Organizations Manage What They Know
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PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Enterprise expert and knowledge discovery
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Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
The ContactFinder agent: answering bulletin board questions with referrals
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Adaptive web search based on user profile constructed without any effort from users
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Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Web path recommendations based on page ranking and Markov models
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Mining web navigations for intelligence
Decision Support Systems - Special issue: Intelligence and security informatics
The bipartite clique: a topological paradigm for WWWeb user search customization
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Voting techniques for expert search
Knowledge and Information Systems
Adaptive Information Filtering Based on PTM Model (APTM)
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Telling experts from spammers: expertise ranking in folksonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Topic-Based Computing Model for Web Page Popularity and Website Influence
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Mining web navigations for intelligence
Decision Support Systems - Special issue: Intelligence and security informatics
Derived types in semantic association discovery
Journal of Intelligent Information Systems
Community search: a collaborative searching web application with a user ranking system
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
Finding the right supervisor: expert-finding in a university domain
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
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Computing the web-user's relevance to a give topic is an important task for any personalization service on the Web. Since the interest and preference of a web-user are revealed in his Web browsing history, in this paper we develop a novel approach that utilizes Web logs to compute the relevance of a web-user to a given query. In contrast to traditional methods that are purely based on textual analysis, our approach calculates the web-user's relevance through link analysis under a unified framework where the importance of web-pages and web-users mutually reinforce each other in an iterative way. The experimental results show that our approach has achieved 53 of accuracy when ranking the web-user's relevance to a search topic.