메뉴 건너뛰기




Volumn 24, Issue 8, 2011, Pages 1310-1316

Improving collaborative filtering recommender system results and performance using genetic algorithms

Author keywords

Collaborative filtering; Genetic algorithms; Metrics; Performance; Recommender systems; Similarity measures

Indexed keywords

COLLABORATIVE FILTERING; LINEAR COMBINATIONS; METRICS; PERFORMANCE; PREDICTION QUALITY; SIMILARITY MEASURE; SPECIFIC NATURE;

EID: 80051474675     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.06.005     Document Type: Article
Times cited : (212)

References (28)
  • 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. Knowl. Data Eng. 17 6 2005 734 749
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 44949123611 scopus 로고    scopus 로고
    • Fuzzy-genetic approach to recommender systems based on a novel hybrid user model
    • M.Y. Al-Shamri, and K.K. Bharadwaj Fuzzy-genetic approach to recommender systems based on a novel hybrid user model Exp. Syst. Appl. 2008 1386 1399
    • (2008) Exp. Syst. Appl. , pp. 1386-1399
    • Al-Shamri, M.Y.1    Bharadwaj, K.K.2
  • 3
    • 85042294881 scopus 로고
    • On optimal population size of genetic algorithms
    • J.T. Alander On optimal population size of genetic algorithms Comput. Syst. SoftwareEng. 1992 65 70
    • (1992) Comput. Syst. SoftwareEng. , pp. 65-70
    • Alander, J.T.1
  • 4
    • 32944470631 scopus 로고    scopus 로고
    • Cinema screen recommender agent: Combining collaborative and content-based filtering
    • N. Antonopoulus, and J. Salter Cinema screen recommender agent: combining collaborative and content-based filtering IEEE Intell. Syst. 2006 35 41
    • (2006) IEEE Intell. Syst. , pp. 35-41
    • Antonopoulus, N.1    Salter, J.2
  • 5
    • 67349271700 scopus 로고    scopus 로고
    • Collaborative filtering adapted to recommender systems of e-learning
    • J. Bobadilla, F. Serradilla, and A. Hernando Collaborative filtering adapted to recommender systems of e-learning Knowl. Based Syst. 22 2009 261 265
    • (2009) Knowl. Based Syst. , vol.22 , pp. 261-265
    • Bobadilla, J.1    Serradilla, F.2    Hernando, A.3
  • 6
    • 84873478895 scopus 로고    scopus 로고
    • The incidence of sparsity on collaborative filtering metrics
    • J. Bobadilla, and F. Serradilla The incidence of sparsity on collaborative filtering metrics Australian Database Conf. ADC 92 2009 9 18
    • (2009) Australian Database Conf. ADC , vol.92 , pp. 9-18
    • Bobadilla, J.1    Serradilla, F.2
  • 7
    • 77955417387 scopus 로고    scopus 로고
    • A new collaborative filtering metric that improves the behavior of recommender systems
    • J. Bobadilla, F. Serradilla, and J. Bernal A new collaborative filtering metric that improves the behavior of recommender systems Knowl. Based Syst. 23 6 2010 520 528
    • (2010) Knowl. Based Syst. , vol.23 , Issue.6 , pp. 520-528
    • Bobadilla, J.1    Serradilla, F.2    Bernal, J.3
  • 8
    • 84857362589 scopus 로고    scopus 로고
    • A collaborative filtering similarity measure based on singularities
    • 10.1016/j.ipm.2011.03.007
    • J. Bobadilla, F. Ortega, and A. Hernando A collaborative filtering similarity measure based on singularities Inf. Proc. Manage. 2011 10.1016/j.ipm.2011.03.007
    • (2011) Inf. Proc. Manage.
    • Bobadilla, J.1    Ortega, F.2    Hernando, A.3
  • 9
    • 48349091341 scopus 로고    scopus 로고
    • Managing collaborative learning processes, e-learning applications
    • H. Denis. Managing collaborative learning processes, e-learning applications. 29th Int. Conf. Inf. Tech. Interfaces, (2007) 345-350.
    • (2007) 29th Int. Conf. Inf. Tech. Interfaces , pp. 345-350
    • Denis, H.1
  • 10
    • 58049104758 scopus 로고    scopus 로고
    • Hybrid personalizad recommended model based on genetic algorithm
    • L.Q. Gao, and C. Li Hybrid personalizad recommended model based on genetic algorithm Int. Conf. Wireless Comm. Netw. Mobile Comput. 2008 9215 9218
    • (2008) Int. Conf. Wireless Comm. Netw. Mobile Comput. , pp. 9215-9218
    • Gao, L.Q.1    Li, C.2
  • 11
    • 33646261139 scopus 로고    scopus 로고
    • Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
    • G.M. Giaglis, and Lekakos Improving the prediction accuracy of recommendation algorithms: approaches anchored on human factors Interact. Comp. 18 3 2006 410 431
    • (2006) Interact. Comp. , vol.18 , Issue.3 , pp. 410-431
    • Giaglis, G.M.1    Lekakos2
  • 13
    • 61849176982 scopus 로고    scopus 로고
    • A hybrid ga-based collaborative filtering model for online recommenders
    • Y. Ho, S. Fong, and Z. Yan A hybrid ga-based collaborative filtering model for online recommenders Int. Conf. e-Business 2007 200 203
    • (2007) Int. Conf. E-Business , pp. 200-203
    • Ho, Y.1    Fong, S.2    Yan, Z.3
  • 14
    • 0141887092 scopus 로고    scopus 로고
    • The collaborative filtering recommendation based on SOM cluster-indexing CBR
    • H. Ingoo, J.O. Kyong, and H.R. Tae The collaborative filtering recommendation based on SOM cluster-indexing CBR Exp. Syst. Appl. 25 2003 413 423
    • (2003) Exp. Syst. Appl. , vol.25 , pp. 413-423
    • Ingoo, H.1    Kyong, J.O.2    Tae, H.R.3
  • 16
    • 26844514586 scopus 로고    scopus 로고
    • Using a clustering genetic algorithm to support customer segmentation for personalizad recommender systems
    • K. Kim, and H. Ahn Using a clustering genetic algorithm to support customer segmentation for personalizad recommender systems Artif. Intell. Simulat. 3397 2004 409 415
    • (2004) Artif. Intell. Simulat. , vol.3397 , pp. 409-415
    • Kim, K.1    Ahn, H.2
  • 17
    • 36148984621 scopus 로고    scopus 로고
    • A recommender system using GA K-means clustering in an online Shopping market
    • K. Kim, and H. Ahn A recommender system using GA K-means clustering in an online Shopping market Expert Syst. with Appl. 34 2 2008 1200 1209
    • (2008) Expert Syst. with Appl. , vol.34 , Issue.2 , pp. 1200-1209
    • Kim, K.1    Ahn, H.2
  • 19
    • 3843049042 scopus 로고    scopus 로고
    • PocketLens: Toward a personal recommender system
    • J.A. Konstan, B.N. Miller, and J. Riedl PocketLens: toward a personal recommender system ACM Trans. Inf. Syst. 22 3 2004 437 476
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.3 , pp. 437-476
    • Konstan, J.A.1    Miller, B.N.2    Riedl, J.3
  • 20
    • 0002300555 scopus 로고    scopus 로고
    • Lifestyle finder: Intelligent user profiling using large-scale demographic data
    • B. Krulwich Lifestyle finder: intelligent user profiling using large-scale demographic data Artif. Intell. Magaz. 18 2 1997 37 45
    • (1997) Artif. Intell. Magaz. , vol.18 , Issue.2 , pp. 37-45
    • Krulwich, B.1
  • 21
    • 85142688646 scopus 로고
    • NewsWeeder: Learning to filter netnews
    • K. Lang. NewsWeeder: Learning to filter netnews, 12th Int. Conf. Machine Learning, (1995) 331-339.
    • (1995) 12th Int. Conf. Machine Learning , pp. 331-339
    • Lang, K.1
  • 22
    • 11244257424 scopus 로고    scopus 로고
    • A movie recommender system based on inductive learning
    • P. Li, and S. Yamada A movie recommender system based on inductive learning IEEE Conf. Cyber. Intell. Syst. 1 2004 318 323
    • (2004) IEEE Conf. Cyber. Intell. Syst. , vol.1 , pp. 318-323
    • Li, P.1    Yamada, S.2
  • 24
  • 25
    • 24944592578 scopus 로고    scopus 로고
    • Alleviating the sparsity problem of collaborative filtering using trust inferences
    • M. Papagelis, D. Plexousakis, and T. Kutsuras Alleviating the sparsity problem of collaborative filtering using trust inferences LNCS 3477 2005 224 239
    • (2005) LNCS , vol.3477 , pp. 224-239
    • Papagelis, M.1    Plexousakis, D.2    Kutsuras, T.3
  • 26
    • 70449533851 scopus 로고    scopus 로고
    • Dealing with incomplete information in a fuzzy linguistic recommender system to diseminate information in university digital libraries
    • C. Porcel, and E. Herrera-Viedma Dealing with incomplete information in a fuzzy linguistic recommender system to diseminate information in university digital libraries Knowl. Based Syst. 23 1 2010 32 39
    • (2010) Knowl. Based Syst. , vol.23 , Issue.1 , pp. 32-39
    • Porcel, C.1    Herrera-Viedma, E.2
  • 27
    • 69249202482 scopus 로고    scopus 로고
    • A multi-disciplinar recommender system to advice research resources in university digital libraries
    • C. Porcel, J.M. Moreno, and E. Herrera-Viedma A multi-disciplinar recommender system to advice research resources in university digital libraries Exp. Syst. Appl. 36 2009 12520 12528
    • (2009) Exp. Syst. Appl. , vol.36 , pp. 12520-12528
    • Porcel, C.1    Moreno, J.M.2    Herrera-Viedma, E.3
  • 28
    • 38649113242 scopus 로고    scopus 로고
    • A collaborative filtering algorithm employing genetic clustering to ameliorate the scalability issue
    • F. Zhang, and H.Y. Chang A collaborative filtering algorithm employing genetic clustering to ameliorate the scalability issue IEEE Int. Conf. e-Business Eng. 2006 331 338
    • (2006) IEEE Int. Conf. E-Business Eng. , pp. 331-338
    • Zhang, F.1    Chang, H.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.