메뉴 건너뛰기




Volumn 82, Issue , 2015, Pages 11-19

Simultaneous co-clustering and learning to address the cold start problem in recommender systems

Author keywords

Co clustering; Cold starting; Predictive modeling; Recommender system

Indexed keywords

COLLABORATIVE FILTERING; PREDICTIVE ANALYTICS; RECOMMENDER SYSTEMS;

EID: 84928054067     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2015.02.016     Document Type: Article
Times cited : (124)

References (58)
  • 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 EEE Trans. Knowl. Data Eng. 17 2005 734 749
    • (2005) EEE Trans. Knowl. Data Eng. , vol.17 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold starting problem
    • H.J. Ahn A new similarity measure for collaborative filtering to alleviate the new user cold starting problem Inform. Sci. 178 2008 37 51
    • (2008) Inform. Sci. , vol.178 , pp. 37-51
    • Ahn, H.J.1
  • 4
    • 0031640270 scopus 로고    scopus 로고
    • Recommendation as classification: using social and content-based information in recommendation
    • C. Basu, H. Hirsh, W. Cohen, et al., Recommendation as classification: using social and content-based information in recommendation, in: AAAI/IAAI, 1998, pp. 714-720.
    • (1998) AAAI/IAAI , pp. 714-720
    • Basu, C.1    Hirsh, H.2    Cohen, W.3
  • 5
    • 84901825625 scopus 로고    scopus 로고
    • Empowering recommender systems using trust and argumentation
    • P. Bedi, and P. Vashisth Empowering recommender systems using trust and argumentation Inform. Sci. 279 2014 569 586
    • (2014) Inform. Sci. , vol.279 , pp. 569-586
    • Bedi, P.1    Vashisth, P.2
  • 8
    • 84155181004 scopus 로고    scopus 로고
    • A collaborative filtering approach to mitigate the new user cold start problem
    • J. Bobadilla, F. Ortega, A. Hernando, and J. Bernal A collaborative filtering approach to mitigate the new user cold start problem Knowl.-Based Syst. 26 2012 225 238
    • (2012) Knowl.-Based Syst. , vol.26 , pp. 225-238
    • Bobadilla, J.1    Ortega, F.2    Hernando, A.3    Bernal, J.4
  • 13
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A.P. Dempster, N.M. Laird, and D.B. Rubin Maximum likelihood from incomplete data via the em algorithm J. Roy. Stat. Soc. 39 1977 1 38
    • (1977) J. Roy. Stat. Soc. , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 16
    • 78049323817 scopus 로고    scopus 로고
    • Scoal: a framework for simultaneous co-clustering and learning from complex data
    • M. Deodhar, and J. Ghosh Scoal: a framework for simultaneous co-clustering and learning from complex data ACM Trans. Knowl. Discov. Data 4 2010 11
    • (2010) ACM Trans. Knowl. Discov. Data , vol.4 , pp. 11
    • Deodhar, M.1    Ghosh, J.2
  • 20
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: a constant time collaborative filtering algorithm
    • K. Goldberg, T. Roeder, D. Gupta, and C. Perkins Eigentaste: a constant time collaborative filtering algorithm Inform. Retrieval 4 2001 133 151
    • (2001) Inform. Retrieval , vol.4 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 22
    • 84887594229 scopus 로고    scopus 로고
    • Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems
    • ACM
    • G. Guo Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems Proceedings of the 7th ACM Conference on Recommender Systems 2013 ACM 451 454
    • (2013) Proceedings of the 7th ACM Conference on Recommender Systems , pp. 451-454
    • Guo, G.1
  • 23
    • 84894902264 scopus 로고    scopus 로고
    • Merging trust in collaborative filtering to alleviate data sparsity and cold start
    • G. Guo, J. Zhang, and D. Thalmann Merging trust in collaborative filtering to alleviate data sparsity and cold start Knowl.-Based Syst. 57 2014 57 68
    • (2014) Knowl.-Based Syst. , vol.57 , pp. 57-68
    • Guo, G.1    Zhang, J.2    Thalmann, D.3
  • 26
    • 84867405058 scopus 로고    scopus 로고
    • Incorporating reliability measurements into the predictions of a recommender system
    • A. Hernando, J. Bobadilla, F. Ortega, and J. Tejedor Incorporating reliability measurements into the predictions of a recommender system Inform. Sci. 218 2013 1 16
    • (2013) Inform. Sci. , vol.218 , pp. 1-16
    • Hernando, A.1    Bobadilla, J.2    Ortega, F.3    Tejedor, J.4
  • 28
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Z. Huang, H. Chen, and D. Zeng Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering ACM Trans. Inform. Syst. (TOIS) 22 2004 116 142
    • (2004) ACM Trans. Inform. Syst. (TOIS) , vol.22 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 30
    • 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 AI Mag. 18 1997 37
    • (1997) AI Mag. , vol.18 , pp. 37
    • Krulwich, B.1
  • 31
    • 51049105928 scopus 로고    scopus 로고
    • An empirical study of a cross-level association rule mining approach to cold start recommendations
    • C.W.-k. Leung, S.C.-f. Chan, and F.-l. Chung An empirical study of a cross-level association rule mining approach to cold start recommendations Knowl.-Based Syst. 21 2008 515 529
    • (2008) Knowl.-Based Syst. , vol.21 , pp. 515-529
    • Leung, C.W.-K.1    Chan, S.C.-F.2    Chung, F.-L.3
  • 32
    • 84899986115 scopus 로고    scopus 로고
    • A social recommender mechanism for location-based group commerce
    • Y.-M. Li, C.-L. Chou, and L.-F. Lin A social recommender mechanism for location-based group commerce Inform. Sci. 274 2014 125 142
    • (2014) Inform. Sci. , vol.274 , pp. 125-142
    • Li, Y.-M.1    Chou, C.-L.2    Lin, L.-F.3
  • 34
    • 84876943238 scopus 로고    scopus 로고
    • Improving collaborative filtering-based recommender systems results using pareto dominance
    • F. Ortega, J.-L. SáNchez, J. Bobadilla, and A. Gutiérrez Improving collaborative filtering-based recommender systems results using pareto dominance Inform. Sci.: Int. J. 239 2013 50 61
    • (2013) Inform. Sci.: Int. J. , vol.239 , pp. 50-61
    • Ortega, F.1    Sánchez, J.-L.2    Bobadilla, J.3    Gutiérrez, A.4
  • 37
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content-based and demographic filtering
    • M.J. Pazzani A framework for collaborative, content-based and demographic filtering Artif. Intell. Rev. 13 1999 393 408
    • (1999) Artif. Intell. Rev. , vol.13 , pp. 393-408
    • Pazzani, M.J.1
  • 38
    • 38349029576 scopus 로고    scopus 로고
    • Content-based recommendation systems
    • M.J. Pazzani, D. Billsus, Content-based recommendation systems, in: The Adaptive Web, 2007, pp. 325-341.
    • (2007) The Adaptive Web , pp. 325-341
    • Pazzani, M.J.1    Billsus, D.2
  • 40
    • 70449533851 scopus 로고    scopus 로고
    • Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries
    • C. Porcel, and E. Herrera-Viedma Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries Knowl.-Based Syst. 23 2010 32 39
    • (2010) Knowl.-Based Syst. , vol.23 , pp. 32-39
    • Porcel, C.1    Herrera-Viedma, E.2
  • 41
    • 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 Expert Syst. Appl. 36 2009 12520 12528
    • (2009) Expert Syst. Appl. , vol.36 , pp. 12520-12528
    • Porcel, C.1    Moreno, J.M.2    Herrera-Viedma, E.3
  • 47
    • 79956317694 scopus 로고    scopus 로고
    • Using association rules to solve the cold start problem in recommender systems
    • Springer
    • G. Shaw, Y. Xu, and S. Geva Using association rules to solve the cold start problem in recommender systems Advances in Knowledge Discovery and Data Mining 2010 Springer 340 347
    • (2010) Advances in Knowledge Discovery and Data Mining , pp. 340-347
    • Shaw, G.1    Xu, Y.2    Geva, S.3
  • 49
    • 0001845248 scopus 로고    scopus 로고
    • Combining content and collaboration in text filtering
    • I. Soboroff, C. Nicholas, Combining content and collaboration in text filtering, in: Proceedings of the IJCAI, vol. 99, 1999, pp. 86-91.
    • (1999) Proceedings of the IJCAI , vol.99 , pp. 86-91
    • Soboroff, I.1    Nicholas, C.2
  • 50
    • 84891831526 scopus 로고    scopus 로고
    • A quality based recommender system to disseminate information in a university digital library
    • l. Tejeda-Lorente, C. Porcel, E. Peis, R. Sanz, and E. Herrera-Viedma A quality based recommender system to disseminate information in a university digital library Inform. Sci. 261 2014 52 69
    • (2014) Inform. Sci. , vol.261 , pp. 52-69
    • Tejeda-Lorente, L.1    Porcel, C.2    Peis, E.3    Sanz, R.4    Herrera-Viedma, E.5
  • 56
    • 0023855863 scopus 로고
    • On ordered weighted averaging aggregation operators in multicriteria decisionmaking
    • R.R. Yager On ordered weighted averaging aggregation operators in multicriteria decisionmaking IEEE Trans. Syst. Man Cybernet. 18 1988 183 190
    • (1988) IEEE Trans. Syst. Man Cybernet. , vol.18 , pp. 183-190
    • Yager, R.R.1
  • 57
    • 84875946162 scopus 로고    scopus 로고
    • A hybrid fuzzy-based personalized recommender system for telecom products/services
    • Z. Zhang, H. Lin, K. Liu, D. Wu, G. Zhang, and J. Lu A hybrid fuzzy-based personalized recommender system for telecom products/services Inform. Sci. 235 2013 117 129
    • (2013) Inform. Sci. , vol.235 , pp. 117-129
    • Zhang, Z.1    Lin, H.2    Liu, K.3    Wu, D.4    Zhang, G.5    Lu, J.6
  • 58
    • 78751646378 scopus 로고    scopus 로고
    • Solving the cold start problem in recommender systems with social tags
    • Z.-K. Zhang, C. Liu, Y.-C. Zhang, and T. Zhou Solving the cold start problem in recommender systems with social tags EPL (Europhys. Lett.) 92 2010 28002
    • (2010) EPL (Europhys. Lett.) , vol.92 , pp. 28002
    • Zhang, Z.-K.1    Liu, C.2    Zhang, Y.-C.3    Zhou, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.