On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
Linear structure in information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval based on user behaviour
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Integration of user profiles: models and experiments in information retrieval
Information Processing and Management: an International Journal
An analysis of vector space models based on computational geometry
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling users' interests in information filters
Communications of the ACM - Special issue on information filtering
Modelling of user preferences and needs in Boolean retrieval systems
Information Processing and Management: an International Journal
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A reinforcement learning agent for personalized information filtering
Proceedings of the 5th international conference on Intelligent user interfaces
Some Formal Analysis of Roccio's Similarity-Based Relvance Feedback Algorithm
ISAAC '00 Proceedings of the 11th International Conference on Algorithms and Computation
Multiplicative Adaptive Algorithms for User Preference Retrieval
COCOON '01 Proceedings of the 7th Annual International Conference on Computing and Combinatorics
Using Consensus Methods for Solving Conflicts of Data in Distributed Systems
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Re-ranking method based on inter-document distances
Information Processing and Management: an International Journal
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Personalization has been recently one of the most important features of intelligent information retrieval. An intelligent system should store information about user interests and utilize this information to deliver to the user documents he really needs. In such a system the information needs of a user should be represented by means of so called a user profile. User profiles, in other hand, should be used together with queries to sort retrieved information in such order that is adequate to user preferences. In this paper a vector-based information system model is presented, in which the user information needs and preferences (profiles) are defined and the methods for updating user profiles and automatic learning about user preferences are worked out.