5 search results - page 1 / 1 » Preference-based Graphic Models for Collaborative Filtering |
CHI
2002
ACM
14 years 5 months ago
2002
ACM
Many applications require users to specify preferences. We support users in this task by letting them define preferences relative to their personal history or that of other users....
UAI
2003
13 years 6 months ago
2003
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
IR
2006
13 years 4 months ago
2006
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...
JMLR
2010
12 years 11 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...