59 search results - page 7 / 12 » Collaborative competitive filtering: learning recommender us... |
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...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
AIRS
2006
Springer
13 years 11 months ago
2006
Springer
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...