38 search results - page 2 / 8 » An Empirical Comparison of Collaborative Filtering Approache... |
KDD
2008
ACM
14 years 4 months ago
2008
ACM
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
JMLR
2010
12 years 11 months ago
2010
Matrix factorization is a successful technique for building collaborative filtering systems. While it works well on a large range of problems, it is also known for requiring signi...
KDD
2009
ACM
14 years 4 months ago
2009
ACM
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
AAAI
2010
13 years 5 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Discrete mixed membership modeling and continuous latent factor modeling (also known as matrix factorization) are two popular, complementary approaches to dyadic data analysis. In...