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KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 23 days ago
Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
We present a algorithm based on factor analysis for performing collaborative quality filtering (CQF). Unlike previous approaches to CQF, which estimate the consensus opinion of a...
Jonathan Traupman, Robert Wilensky
RECSYS
2010
ACM
13 years 5 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
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...
Yue Shi, Martha Larson, Alan Hanjalic
UAI
2003
13 years 8 months ago
Preference-based Graphic Models for Collaborative Filtering
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...
Rong Jin, Luo Si, ChengXiang Zhai
RECSYS
2010
ACM
13 years 7 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
ECAI
2006
Springer
13 years 11 months ago
A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation
Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
Sylvain Castagnos, Anne Boyer