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AH
2004
Springer
14 years 19 days ago
Evaluating Information Filtering Techniques in an Adaptive Recommender System
Abstract. With the huge increase in the volume of information available in digital form and the increasing diversity of Web applications, the need for efficient, reliable, informat...
John O'Donovan, John Dunnion
AAAI
2000
13 years 10 months ago
TV Content Recommender System
The plethora of content available to the consumer has become overwhelming. Increasing amounts of information are being disseminated through terrestrial broadcast, satellite, and c...
Srinivas Gutta, Kaushal Kurapati, K. P. Lee, Jacqu...
RECSYS
2009
ACM
14 years 3 months ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin
WWW
2004
ACM
14 years 9 months ago
PipeCF: a scalable DHT-based collaborative filtering recommendation system
Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system...
Bo Xie, Peng Han, Ruimin Shen
AIM
2002
13 years 8 months ago
Natural Language Assistant: A Dialog System for Online Product Recommendation
With the emergence of e-commerce systems, successful information access on e-commerce websites becomes essential. Menu-driven navigation and keyword search currently provided by m...
Joyce Yue Chai, Veronika Horvath, Nicolas Nicolov,...