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Volumn , Issue , 2003, Pages 171-174

Research and Design of an Efficient Collaborative Filtering Predication Algorithm

Author keywords

Clustering; Collaborative filtering; K means

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; ELECTRONIC COMMERCE; INFORMATION RETRIEVAL; WORLD WIDE WEB;

EID: 1642505554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (17)
  • 4
    • 0029179043 scopus 로고
    • Social Information Filtering: Algorithms for Automating 'world of mouth'
    • U.Shardanand, and P.Maes, "Social Information Filtering: Algorithms for Automating 'world of mouth'", In proceeding of CHI'95. Denver, CO, 1995
    • (1995) Proceeding of CHI'95. Denver, CO
    • Shardanand, U.1    Maes, P.2
  • 7
    • 0010279656 scopus 로고    scopus 로고
    • Application of Dimensionality Reduction in Recommendation Systems-A Case Study
    • B.Sarwar, G.Karypis, J.Konstan, and J.Riedl, "Application of Dimensionality Reduction in Recommendation Systems-A Case Study", In ACM WebKDD workshop, 2000
    • (2000) ACM WebKDD Workshop
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 15
    • 0012529599 scopus 로고    scopus 로고
    • Evaluation of Item-based Top-N Recommendation Algorithms
    • Computer Science Dept., University of Minnesota
    • G.Karypis, "Evaluation of Item-based Top-N Recommendation Algorithms", Technical Report CS-TR-00-46, Computer Science Dept., University of Minnesota, 2000
    • (2000) Technical Report , vol.CS-TR-00-46
    • Karypis, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.