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Slope One Predictors for Online Rating-Based Collaborative Filtering
Collaborative Filtering Recommender e-Commerce Data Mining Knowledge Discovery
2015/8/3
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with predictors of the form f(x...
Improving Recommendation Quality by Merging Collaborative Filtering and Social Relationships
Collaborative Filtering Recommender Systems Social Networks Matrix Factorization
2015/7/21
Matrix Factorization techniques have been successfully applied to raise the quality of suggestions generated by Collaborative Filtering Systems (CFSs). Traditional CFSs based on Matrix Factorization o...
A Contextual Item-Based Collaborative Filtering Technology
Context Item-Based Collaborative Filtering
2013/1/28
This paper proposes a contextual item-based collaborative filtering technology, which is based on the traditional item-based collaborative filtering technology. In the process of the recommendation, u...
P2P collaborative filtering with privacy
Privacy P2P collaborative filtering naï ve bayesian classifier accuracy
2010/10/12
With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular. The goal in CF is to generate predictions wit...