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» A Personalized System for Conversational Recommendations
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 9 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
UMUAI
2010
105views more  UMUAI 2010»
13 years 7 months ago
Towards personality-based user adaptation: psychologically informed stylistic language generation
Conversation is an essential component of social behavior, one of the primary means by which humans express intentions, beliefs, emotions, attitudes and personality. Thus the deve...
François Mairesse, Marilyn A. Walker
DL
2000
Springer
173views Digital Library» more  DL 2000»
14 years 1 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
IHI
2010
149views Healthcare» more  IHI 2010»
13 years 4 months ago
Intelligent personal health record: experience and open issues
Web-based personal health records (PHRs) are under massive deployment. To improve PHR's capability and usability, we previously proposed the concept of intelligent PHR (iPHR)...
Gang Luo, Chunqiang Tang, Selena B. Thomas
CSCW
2006
ACM
14 years 3 months ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan