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WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
15 years 3 months ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
WWW
2006
ACM
15 years 10 months ago
The credibility of the posted information in a recommendation system based on a map
We propose a method for estimating the credibility of the posted information from users. The system displays these information on the map. Since posted information can include sub...
Koji Yamamoto, Daisuke Katagami, Katsumi Nitta, Ak...
AH
2004
Springer
15 years 1 months 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
14 years 11 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
15 years 4 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