A reinforcement learning agent for personalized information filtering
Proceedings of the 5th international conference on Intelligent user interfaces
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
The loquacious user: a document-independent source of terms for query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Immune Learning in a Dynamic Information Environment
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Dynamic adaptation strategies for long-term and short-term user profile to personalize search
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
Concept-Based Information Retrieval Using Explicit Semantic Analysis
ACM Transactions on Information Systems (TOIS)
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Although the World Wide Web has evolved to be an enormous resource over the last decade, sifting through all the information available poses a significant challenge to users as there is simply too much information available. Therefore, systems that support users by performing personalized information filtering or search are becoming increasingly important. This paper presents a mechanism which provides recommendations based on a user profile that adapts to the changing user interests. Taking the multiple and diverse information needs of the user into consideration, the proposed mechanism constructs a user profile that adapts according to the changing user requirements.