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Volumn 3, Issue 7, 2006, Pages 1202-1207

A recommender system framework combining neural networks & collaborative filtering

Author keywords

Collaborative filtering; Hybrid personalization; Neural networks; Recommendation engine

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; CONTENT BASED RETRIEVAL; LEARNING ALGORITHMS; USER INTERFACES;

EID: 33744518455     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (16)

References (13)
  • 10
    • 0036932094 scopus 로고    scopus 로고
    • Content-boosted collaborative filtering for improved recommendations
    • (Edmonton, Alberta, Canada, July 28 - August 01, 2002). R. Dechter, M. Kearns, and R. Sutton, Eds. American Association for Artificial Intelligence, Menlo Park, CA
    • Melville, P., Mooney, R. J., and Nagarajan, R. 2002. Content-boosted collaborative filtering for improved recommendations. In Eighteenth National Conference on Artificial intelligence (Edmonton, Alberta, Canada, July 28 - August 01, 2002). R. Dechter, M. Kearns, and R. Sutton, Eds. American Association for Artificial Intelligence, Menlo Park, CA, 187-192.
    • (2002) Eighteenth National Conference on Artificial Intelligence , pp. 187-192
    • Melville, P.1    Mooney, R.J.2    Nagarajan, R.3
  • 11
    • 33744530520 scopus 로고    scopus 로고
    • Word of mouse: The marketing power of collaborative filtering
    • New York. Warner Books
    • Ridell, J. et. Al. 2002. Word of mouse: the marketing power of collaborative filtering. New York. Warner Books.
    • (2002)
    • Ridell, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.