A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
Exploring synergies between digital tv recommender systems and electronic health records
Proceedings of the 8th international interactive conference on Interactive TV&Video
Using external aggregate ratings for improving individual recommendations
ACM Transactions on the Web (TWEB)
The pursuit of satisfaction: affective state in group recommender systems
UM'05 Proceedings of the 10th international conference on User Modeling
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A new approach is outlined in which group modeling techniques are used to model an individual user. This helps to reduce cold-start problems, and allows aggregating multiple criteria.