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Volumn , Issue , 2009, Pages 532-539

The wisdom of the few: A collaborative filtering approach based on expert opinions from the web

Author keywords

Collaborative filtering; Cosine similarity; Experts; Nearest neighbors; Recommender system; Top N recommendations

Indexed keywords

COLD START PROBLEMS; COLLABORATIVE FILTERING; COSINE SIMILARITY; DATA SETS; DATA SPARSITY; EXPERT OPINION; NEAREST NEIGHBOR ALGORITHM; NEAREST NEIGHBORS; NOVEL METHODS; PREDICTION ACCURACY; RECOMMENDER SYSTEMS; WEB PORTAL; WEB USERS;

EID: 72449179929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572033     Document Type: Conference Paper
Times cited : (132)

References (26)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • G. Adomavicius and A. Tuzhilin. 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
  • 3
    • 57349120510 scopus 로고    scopus 로고
    • Modeling online reviews with multi-grain topic models
    • I. Titov and R. McDonald. Modeling online reviews with multi-grain topic models. In Proc. of WWW '08, 2008.
    • (2008) Proc. of WWW '08
    • Titov, I.1    McDonald, R.2
  • 5
    • 34648832353 scopus 로고    scopus 로고
    • An economic model of user rating in an online recommender system
    • M. Harper, X. Li, Y. Chen, and J. Konstan. An economic model of user rating in an online recommender system. In Proc. of UM 05, 2005.
    • (2005) Proc. of UM 05
    • Harper, M.1    Li, X.2    Chen, Y.3    Konstan, J.4
  • 6
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. Item-based collaborative filtering recommendation algorithms. In Proc. of WWW '01, 2001.
    • (2001) Proc. of WWW '01
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 7
    • 3042829247 scopus 로고    scopus 로고
    • An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
    • J. L. Herlocker, J. A. Konstan, and J. Riedl. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Information Retrieval, (5):287-310, 2002.
    • (2002) Information Retrieval , vol.5 , pp. 287-310
    • Herlocker, J.L.1    Konstan, J.A.2    Riedl, J.3
  • 8
    • 36448972659 scopus 로고    scopus 로고
    • Effective missing data prediction for collaborative filtering
    • H. Ma, I. King, and M. R. Lyu. Effective missing data prediction for collaborative filtering. In Proc. of SIGIR '07, 2007.
    • (2007) Proc. of SIGIR '07
    • Ma, H.1    King, I.2    Lyu, M.R.3
  • 10
    • 49749086487 scopus 로고    scopus 로고
    • Scalable collaborative filtering with jointly derived neighborhood interpolation weights
    • R. Bell and Y. Koren. Scalable collaborative filtering with jointly derived neighborhood interpolation weights. In Proc. of IEEE ICDM, 2007.
    • (2007) Proc. of IEEE ICDM
    • Bell, R.1    Koren, Y.2
  • 11
    • 3042821101 scopus 로고    scopus 로고
    • Item-based top-n recommendation algorithms
    • M. Deshpande and G. Karypis. Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst., 22(1):143-177, 2004.
    • (2004) ACM Trans. Inf. Syst , vol.22 , Issue.1 , pp. 143-177
    • Deshpande, M.1    Karypis, G.2
  • 13
    • 8644228708 scopus 로고    scopus 로고
    • A collaborative filtering algorithm and evaluation metric that accurately model the user experience
    • M. R. McLaughlin and J. L. Herlocker. A collaborative filtering algorithm and evaluation metric that accurately model the user experience. In Proc. of SIGIR '04, 2004.
    • (2004) Proc. of SIGIR '04
    • McLaughlin, M.R.1    Herlocker, J.L.2
  • 15
    • 0000746402 scopus 로고    scopus 로고
    • Recommendation as classification: Using social and content-based information in recommendation
    • C. Basu, H. Hirsh, and W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In AAAI Workshop on Recommender Systems, 1998.
    • (1998) AAAI Workshop on Recommender Systems
    • Basu, C.1    Hirsh, H.2    Cohen, W.3
  • 16
    • 72449193032 scopus 로고    scopus 로고
    • Choicestream Inc
    • Personalization Survey. Technical report
    • Choicestream. Personalization Survey. Technical report, Choicestream Inc., 2007.
    • (2007)
    • Choicestream1
  • 18
    • 72449207451 scopus 로고    scopus 로고
    • Science. Rockin' to the Music Genome. Science, 311(5765):1223d-, 2006.
    • Science. Rockin' to the Music Genome. Science, 311(5765):1223d-, 2006.
  • 19
    • 34249987083 scopus 로고    scopus 로고
    • Collaborative filtering using dual information sources
    • J. Cho, K. Kwon, and Y. Park. Collaborative filtering using dual information sources. IEEE Intelligent Systems, 22(3):30-38, 2007.
    • (2007) IEEE Intelligent Systems , vol.22 , Issue.3 , pp. 30-38
    • Cho, J.1    Kwon, K.2    Park, Y.3
  • 22
    • 33750346202 scopus 로고    scopus 로고
    • Analysis of a low-dimensional linear model under recommendation attacks
    • J. Ford S. Zhang, Y. Ouyang and F. Makedon. Analysis of a low-dimensional linear model under recommendation attacks. In Proc. of SIGIR '06, 2006.
    • (2006) Proc. of SIGIR '06
    • Ford, J.1    Zhang, S.2    Ouyang, Y.3    Makedon, F.4
  • 23
    • 57349135767 scopus 로고    scopus 로고
    • Attack resistant collaborative filtering
    • B. Mehta and W. Nejdl. Attack resistant collaborative filtering. In Proc. of SIGIR '08, 2008.
    • (2008) Proc. of SIGIR '08
    • Mehta, B.1    Nejdl, W.2
  • 26
    • 33751040372 scopus 로고    scopus 로고
    • R. Baraglia, C. Lucchese, S. Orlando, M.o Serrano, and F. Silvestri. A privacy preserving web recommender system. In ACM SAC, pages 559-563, New York, NY, USA, 2006.
    • R. Baraglia, C. Lucchese, S. Orlando, M.o Serrano, and F. Silvestri. A privacy preserving web recommender system. In ACM SAC, pages 559-563, New York, NY, USA, 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.