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Volumn 363, Issue , 2015, Pages 159-169

A hybrid movie recommender using dynamic fuzzy clustering

Author keywords

Hybrid online movie recommendation; Recommender systems

Indexed keywords


EID: 84945976905     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-319-22635-4_14     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 1
    • 84945914372 scopus 로고    scopus 로고
    • Fuzzy c-means clustering. http://home.dei.polimi.it/matteucc/Clustering/tutorial_html/cmeans.html (2006)
    • (2006)
  • 2
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. on Knowledge and Data. Engineering 17(6), 734-749 (2005)
    • (2005) IEEE Trans. On Knowledge and Data. Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 4
    • 0031104267 scopus 로고    scopus 로고
    • Recommender systems for evaluating computer messages
    • Avery, C., Zeckhauser R.: Recommender systems for evaluating computer messages. Commun. ACM 40(3), 88-89 (1997)
    • (1997) Commun. ACM , vol.40 , Issue.3 , pp. 88-89
    • Avery, C.1    Zeckhauser, R.2
  • 5
    • 0034479396 scopus 로고    scopus 로고
    • User modeling for adaptive news access
    • Billsus, D., Pazzani, M.: User modeling for adaptive news access. User Model. User-Adap. Inter. 10(2-3), 147-180 (2000)
    • (2000) User Model. User-Adap. Inter , vol.10 , Issue.2-3 , pp. 147-180
    • Billsus, D.1    Pazzani, M.2
  • 6
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • Burke, R.: Hybrid recommender systems: Survey and experiments. User Model. User-Adap. Inter. 12(4), 331-370 (2002)
    • (2002) User Model. User-Adap. Inter , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 9
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.Com recommendations: Item-to-item collaborative Filtering
    • Linden, G., Smith, B., York, J.: Amazon.com recommendations: Item-to-item collaborative Filtering. In IEEE Internet Computing (2003)
    • (2003) IEEE Internet Computing
    • Linden, G.1    Smith, B.2    York, J.3
  • 11
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content-based and demographic Filtering
    • Pazzani, M.: A framework for collaborative, content-based and demographic Filtering. AI Rev. 13(5-6), 393-408 (1999)
    • (1999) AI Rev , vol.13 , Issue.5-6 , pp. 393-408
    • Pazzani, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.