7 search results - page 1 / 2 » Learning to Hash for Recommendation with Tensor Data |
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
WSDM
2010
ACM
14 years 2 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...
MM
2005
ACM
13 years 10 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
WSDM
2012
ACM
12 years 11 days ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
SIGIR
2012
ACM
11 years 7 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...