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KDD
2008
ACM
209views Data Mining» more  KDD 2008»
14 years 7 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
14 years 1 months ago
Collaborative Filtering Process in a Whole New Light
Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and ecommerce applications. These systems combine information retrieval and data mini...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
14 years 27 days ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
14 years 1 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 22 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