Alleviating the sparsity problem in collaborative filtering by using an adapted distance and a graph-based method

Proceedings of the 10th SIAM International Conference on Data Mining, SDM 2010

Volumn , Issue , 2010, Pages 189-198

  Piccart, Beau ^a   Struyf, Jan ^a   Blockeel, Hendrik ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA MINING; FORECASTING; GRAPHIC METHODS; SIGNAL FILTERING AND PREDICTION;

ACCURATE PREDICTION; COLLABORATIVE FILTERING ALGORITHMS; DISTANCE MEASURE; GRAPH-BASED METHODS; NEAREST NEIGHBOR METHOD; PROBABILISTIC GRAPHS; PROBABILISTIC PREDICTION; SPARSITY PROBLEMS;

COLLABORATIVE FILTERING;

EID: 84859729166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972801.17     Document Type: Conference Paper

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