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SIGIR
2004
ACM
11 years 7 months ago
A study of methods for normalizing user ratings in collaborative filtering
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
Rong Jin, Luo Si
EPIA
2009
Springer
11 years 5 months ago
Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Catarina Miranda, Alípio Mário Jorge
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
11 years 2 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
UAI
2004
11 years 2 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
ISMIS
2009
Springer
11 years 8 months ago
Alternative Formulas for Rating Prediction Using Collaborative Filtering
This paper proposes and evaluates several alternate design choices for common prediction metrics employed by neighborhood-based collaborative filtering approach. It first explores ...
Amar Saric, Mirsad Hadzikadic, David Wilson
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