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CSCW
1998
ACM
14 years 2 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
IAT
2006
IEEE
14 years 4 months ago
Enhanced Recommendations through Propagation of Trust and Distrust
The incorporation of a trust network among the users of a recommender system (RS) proves beneficial to the quality and amount of recommendations. Involving also distrust can offe...
Patricia Victor, Chris Cornelis, Martine De Cock
UM
2010
Springer
13 years 8 months ago
Eye-Tracking Study of User Behavior in Recommender Interfaces
Recommender systems, as a type of Web personalized service to support users’ online product searching, have been widely developed in recent years but with primary emphasis on alg...
Li Chen, Pearl Pu
CHI
2006
ACM
14 years 10 months ago
Insert movie reference here: a system to bridge conversation and item-oriented web sites
Item-oriented Web sites maintain repositories of information about things such as books, games, or products. Many of these Web sites offer discussion forums. However, these forums...
Sara Drenner, F. Maxwell Harper, Dan Frankowski, J...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 10 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima