8 search results - page 1 / 2 » Collaborative Fashion Recommendation: A Functional Tensor Fa... |
RECSYS
2010
ACM
13 years 11 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
WSDM
2010
ACM
14 years 8 months ago
2010
ACM
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
TKDD
2010
13 years 9 months ago
2010
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
RECSYS
2010
ACM
13 years 8 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
SIGIR
2012
ACM
12 years 1 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...