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Volumn 3056, Issue , 2004, Pages 166-170

Applying association rules for interesting recommendations using rule templates

Author keywords

Association rule; Recommendation systems; Rule templates

Indexed keywords

ASSOCIATION RULES; RECOMMENDER SYSTEMS; ALGORITHMS; DATABASE SYSTEMS; MATHEMATICAL MODELS;

EID: 7444220218     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24775-3_21     Document Type: Conference Paper
Times cited : (20)

References (11)
  • 1
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • March
    • Balabanovic, M., Shoham, Y.: Fab: Content-based, collaborative recommendation. Communications of the ACM, 40(3):66-72, March (1997)
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 7
    • 0036103365 scopus 로고    scopus 로고
    • Efficient adaptive-support association rule mining for recommender systems
    • Lin, W., Alvarez, S., Ruiz, C.: Efficient adaptive-support association rule mining for recommender systems, Data Mining and Knowledge Discovery (2002) 6:83–105
    • (2002) Data Mining and Knowledge Discovery , vol.6 , pp. 83-105
    • Lin, W.1    Alvarez, S.2    Ruiz, C.3
  • 9
    • 84943186775 scopus 로고    scopus 로고
    • EachMovie Collaborative Filtering data set (1997) http://research.compaq.com/SRC/eachmovie/
    • (1997)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.