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KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 7 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
JCDL
2005
ACM
95views Education» more  JCDL 2005»
14 years 28 days ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen
UAI
2003
13 years 8 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
CHI
2005
ACM
14 years 7 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen
UM
2007
Springer
14 years 1 months ago
Cross-Domain Mediation in Collaborative Filtering
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci