WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A system for automatic personalized tracking of scientific literature on the Web
Proceedings of the fourth ACM conference on Digital libraries
A reinforcement learning agent for personalized information filtering
Proceedings of the 5th international conference on Intelligent user interfaces
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Bibliographic and Web citations: what is the difference?
Journal of the American Society for Information Science and Technology
Enhancing digital libraries with TechLens+
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
TSSP: A Reinforcement Algorithm to Find Related Papers
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Transposition of the cocitation method with a view to classifying web pages
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
A comparative study of citations and links in document classification
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
RMIT university at INEX 2005: ad hoc track
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
A collaborative filtering based re-ranking strategy for search in digital libraries
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
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Users of information retrieval systems usually have to repeat the tedious process of searching, browsing, and refining queries until they find relevant documents. This is because different users have different information needs, but user queries are often short and, hence, ambiguous. In this paper we study personalized search in digital libraries using user profile. The search results could be re-ranked by taking into account specific information needs of different people. We study many methods for this purpose: citation-based method, content-based method and hybrid method. We conducted experiments to compare performances of these methods. Experimental results show that our approaches are promising and applicable in digital libraries.