34 search results - page 7 / 7 » Transfer Learning in Collaborative Filtering with Uncertain ... |
WWW
2009
ACM
14 years 8 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
SIGIR
2012
ACM
11 years 10 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...