메뉴 건너뛰기




Volumn WS-07-08, Issue , 2007, Pages 76-83

A stereotypes-based hybrid recommender system for media items

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING PROCESSES; COLLABORATIVE FILTERING; COMMUNICATION PROJECTS; CONTENT-BASED; DEUTSCHE TELEKOM; E-COMMERCE; HYBRID APPROACHES; HYBRID SYSTEMS; INTELLIGENT TECHNIQUES; MOBILE PHONES; ONLINE MEDIUM; RECOMMENDER SYSTEMS; TECHNICAL REPORTS; USER PROFILING; WEB PERSONALIZATION;

EID: 51849137763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (17)
  • 1
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • M. Balabanovic and Y. Shoham. Fab: content-based, collaborative recommendation. Commun. ACM, 40(3):66-72, 1997.
    • (1997) Commun. ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 2
    • 33749567580 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithms for collaborative filtering
    • J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In UAI'98, pages 43-52, 1998.
    • (1998) UAI'98 , pp. 43-52
    • Breese, J.S.1    Heckerman, D.2    Kadie, C.3
  • 3
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • R. Burke. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4):331-370, 2002.
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , Issue.4 , pp. 331-370
    • Burke, R.1
  • 6
    • 33749244569 scopus 로고    scopus 로고
    • Content-boosted collaborative filtering
    • P. Melville, R. Mooney, and R. Nagarajan. Content-boosted collaborative filtering. In AAAI, 2002.
    • (2002) AAAI
    • Melville, P.1    Mooney, R.2    Nagarajan, R.3
  • 8
    • 0028737501 scopus 로고
    • Heterogeneous learning in the doppelgänger user modeling system
    • J. Orwant. Heterogeneous learning in the doppelgänger user modeling system. User Model. User-Adapt. Interact., 4(2):107-130, 1995.
    • (1995) User Model. User-Adapt. Interact , vol.4 , Issue.2 , pp. 107-130
    • Orwant, J.1
  • 9
    • 51849096088 scopus 로고    scopus 로고
    • Evaluating. Preference-based search tools: A tale of two approaches
    • Boi Faltings Paolo Viappiani and Pearl Pu. Evaluating. Preference-based search tools: a tale of two approaches. In AAAI-06, 2006.
    • (2006) AAAI-06
    • Faltings, B.1    Viappiani, P.2    Pu, P.3
  • 10
    • 3242779144 scopus 로고    scopus 로고
    • User-involved preference elicitation
    • Boi Faltings Pearl Pu and Marc Torrens. User-involved preference elicitation. In IJCAI'03, pages 56-63.
    • IJCAI'03 , pp. 56-63
    • Faltings, B.1    Pu, P.2    Torrens, M.3
  • 11
    • 77953964871 scopus 로고    scopus 로고
    • Clustknn: A highly scalable hybrid model and memorybased cf algorithm
    • A. Rashid, S. Lam, G. Karypis, and J. Riedl. Clustknn: A highly scalable hybrid model and memorybased cf algorithm. In WEBKDD, 2006.
    • (2006) WEBKDD
    • Rashid, A.1    Lam, S.2    Karypis, G.3    Riedl, J.4
  • 14
    • 10044243305 scopus 로고    scopus 로고
    • Surfing the digital wave: Generating personalised TV listings using collaborative, case-based recommendation
    • B. Smyth and P. Cotter. Surfing the digital wave: Generating personalised TV listings using collaborative, case-based recommendation. Lecture Notes in Computer Science, 1650:561-567, 1999.
    • (1999) Lecture Notes in Computer Science , vol.1650 , pp. 561-567
    • Smyth, B.1    Cotter, P.2
  • 15
    • 23144457456 scopus 로고    scopus 로고
    • Exploration/exploitation in adaptive recommender systems
    • Oulu, Finland
    • S. ten Hagen, M. van Someren, and V. Hollink. Exploration/exploitation in adaptive recommender systems. In EUNITE03, Oulu, Finland, 2003.
    • (2003) EUNITE03
    • ten Hagen, S.1    van Someren, M.2    Hollink, V.3
  • 16
    • 84885578920 scopus 로고    scopus 로고
    • Scalable collaborative filtering using cluster-based smoothing
    • G. Xue, C. Lin, Q. Yang, W. Xi, H. Zeng, Y. Yu, and Z. Chen. Scalable collaborative filtering using cluster-based smoothing. In SIGIR, pages 114-121, 2005.
    • (2005) SIGIR , pp. 114-121
    • Xue, G.1    Lin, C.2    Yang, Q.3    Xi, W.4    Zeng, H.5    Yu, Y.6    Chen, Z.7
  • 17
    • 51849107581 scopus 로고    scopus 로고
    • C. Ziegler, S. McNee, J. Konstan, and G Lausen. Improving recommendation lists through topic diversification. In WWW, 2005.
    • C. Ziegler, S. McNee, J. Konstan, and G Lausen. Improving recommendation lists through topic diversification. In WWW, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.