메뉴 건너뛰기




Volumn 36, Issue 4, 2009, Pages 8324-8332

A collaborative filtering method based on artificial immune network

Author keywords

aiNet; Artificial immune system; Collaborative filtering; Recommender systems; Scalability; Sparsity

Indexed keywords

ALGORITHMS; DATA STRUCTURES; IMMUNOLOGY; INFORMATION RETRIEVAL SYSTEMS; NEURAL NETWORKS; SCALABILITY;

EID: 60249096207     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.10.029     Document Type: Article
Times cited : (95)

References (32)
  • 1
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
    • Ahn H.J. A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences 178 (2008) 37-51
    • (2008) Information Sciences , vol.178 , pp. 37-51
    • Ahn, H.J.1
  • 5
  • 7
    • 11244327748 scopus 로고    scopus 로고
    • Mining changes in customer buying behaviour for collaborative recommendations
    • Cho Y.B., Cho Y.H., and Kim S.H. Mining changes in customer buying behaviour for collaborative recommendations. Expert System with Applications 28 (2005) 359-369
    • (2005) Expert System with Applications , vol.28 , pp. 359-369
    • Cho, Y.B.1    Cho, Y.H.2    Kim, S.H.3
  • 8
    • 0346961206 scopus 로고    scopus 로고
    • Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce
    • Cho Y.H., and Kim J.K. Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert System with Applications 26 (2004) 233-246
    • (2004) Expert System with Applications , vol.26 , pp. 233-246
    • Cho, Y.H.1    Kim, J.K.2
  • 11
    • 0012708708 scopus 로고    scopus 로고
    • aiNet: An artificial immune network for data analysis
    • Abbass H.A., Sarker R.A., and Newton C.S. (Eds), Idea Group Publishing, USA [Chapter III]
    • de Castro L.N., and Von Zuben F.J. aiNet: An artificial immune network for data analysis. In: Abbass H.A., Sarker R.A., and Newton C.S. (Eds). Data mining: a heuristic approach (2001), Idea Group Publishing, USA 231-259 [Chapter III]
    • (2001) Data mining: a heuristic approach , pp. 231-259
    • de Castro, L.N.1    Von Zuben, F.J.2
  • 13
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • Goldberg K., Roeder T., Gupta D., and Perkins C. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval 4 2 (2000) 133-151
    • (2000) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 16
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Huang Z., Chen H., and Zeng D. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Transactions on Information Systems 22 1 (2004) 116-142
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 19
    • 9244231155 scopus 로고    scopus 로고
    • A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce
    • Li Y., Lu L., and Xuefeng L. A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce. Expert System with Applications 28 (2005) 67-77
    • (2005) Expert System with Applications , vol.28 , pp. 67-77
    • Li, Y.1    Lu, L.2    Xuefeng, L.3
  • 20
    • 33750430621 scopus 로고    scopus 로고
    • A probabilistic music recommender considering user opinions and audio features
    • Li Q., Myaeng S.H., and Kim M.K. A probabilistic music recommender considering user opinions and audio features. Information Processing and Management 43 (2007) 473-487
    • (2007) Information Processing and Management , vol.43 , pp. 473-487
    • Li, Q.1    Myaeng, S.H.2    Kim, M.K.3
  • 21
    • 34248548641 scopus 로고    scopus 로고
    • Knowledge maps for composite e-services: A mining-based system platform coupling with recommendations
    • Liu D., Ke C., Lee J., and Lee C. Knowledge maps for composite e-services: A mining-based system platform coupling with recommendations. Expert Systems with Applications 34 (2008) 700-716
    • (2008) Expert Systems with Applications , vol.34 , pp. 700-716
    • Liu, D.1    Ke, C.2    Lee, J.3    Lee, C.4
  • 22
    • 10644257626 scopus 로고    scopus 로고
    • Integrating AHP and data mining for product recommendation based on customer lifetime value
    • Liu D., and Shih Y. Integrating AHP and data mining for product recommendation based on customer lifetime value. Information & Management 42 (2005) 387-400
    • (2005) Information & Management , vol.42 , pp. 387-400
    • Liu, D.1    Shih, Y.2
  • 25
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content based and demografic filtering
    • Pazzini M.J. A framework for collaborative, content based and demografic filtering. Artificial Intelligence Review 13 5-6 (1999) 393-408
    • (1999) Artificial Intelligence Review , vol.13 , Issue.5-6 , pp. 393-408
    • Pazzini, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.