Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Collaborative Case-Based Recommender Systems
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ITR: A Case-Based Travel Advisory System
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Personis: A Server for User Models
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
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Provision of personalized services to users requires accurate modeling of their interests and needs. However, such information may not be available to the service provider. Previously suggested solutions, such as user modeling servers and user modeling mediation demonstrate technological possible solution to the problem. However, at the same time they introduce privacy problem. This paper proposes a general framework for enhancing the privacy of user modeling in personalization systems by keeping the user "in control" of his/her personal information. The UM on a Key that combined a user modeling server and mediation mechanism will allow the user to explicitly select what information to disclose to service provider and to do that at the right format.