Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Fab: content-based, collaborative recommendation
Communications of the ACM
An adaptive algorithm for learning changes in user interests
Proceedings of the eighth international conference on Information and knowledge management
A reinforcement learning agent for personalized information filtering
Proceedings of the 5th international conference on Intelligent user interfaces
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Neural Network Agents for Learning Semantic Text Classification
Information Retrieval
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A "Bag" or a "Window" of Words for Information Filtering?
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Online selection of parameters in the rocchio algorithm for identifying interesting news articles
Proceedings of the 10th ACM workshop on Web information and data management
Multimodal dynamic optimization: from evolutionary algorithms to artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
A review of evolutionary and immune-inspired information filtering
Natural Computing: an international journal
Interaction-based information filtering for children
Proceedings of the third symposium on Information interaction in context
Information Systems
Practical considerations when filtering documents
Proceedings of the 4th Information Interaction in Context Symposium
Multi-step classification approaches to cumulative citation recommendation
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
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Personalisation can have a significant impact on the way information is disseminated on the web today. Information Filtering can be a significant ingredient towards a personalised web. Collaborative Filtering is already being applied successfully for generating personalised recommendations of music tracks, books, movies and more. The same is not true for Content-Based Filtering. In this paper, we identify some possible reasons for the notable absence of a broad range of personalised information delivery and dissemination services on the web today. We advocate that a more holistic approach to user profiling is required and we discuss the series of still open, challenging research issues raised.