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Volumn 3, Issue , 2008, Pages 24-27

Mining user interest change for improving collaborative filtering

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION TECHNOLOGY;

EID: 62949130010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2008.385     Document Type: Conference Paper
Times cited : (23)

References (9)
  • 1
    • 11244275592 scopus 로고    scopus 로고
    • Detection of customer time-variant pattern for improving recommender systems
    • Sung-Hwan Min, Ingoo Han, Detection of customer time-variant pattern for improving recommender systems, Expert Systems with Applications 28 (2005) 189-199.
    • (2005) Expert Systems with Applications , vol.28 , pp. 189-199
    • Min, S.-H.1    Han, I.2
  • 2
    • 62949225730 scopus 로고    scopus 로고
    • Tong Queue Lee, Young Park, Yong-Tae Park, A time-based approach to effective recommender systems using implicit feedback, Expert Systems with Applications 2007.
    • Tong Queue Lee, Young Park, Yong-Tae Park, A time-based approach to effective recommender systems using implicit feedback, Expert Systems with Applications 2007.
  • 3
    • 11244327748 scopus 로고    scopus 로고
    • Mining changes in customer buying behavior for collaborative recommendations
    • Yeong Bin Cho, Yoon Ho Cho, Soung Hie Kim, Mining changes in customer buying behavior for collaborative recommendations, Expert Systems with Applications 28 (2005) 359-369.
    • (2005) Expert Systems with Applications , vol.28 , pp. 359-369
    • Bin Cho, Y.1    Ho Cho, Y.2    Hie Kim, S.3
  • 4
    • 33845949770 scopus 로고    scopus 로고
    • A distributed collaborativefiltering neighbor-locating algorithm
    • DCFLA
    • Bo Xie, Peng Han, Fan Yang, Rui-Min Shen, Hua-Jun Zeng, Zheng Chen, DCFLA: A distributed collaborativefiltering neighbor-locating algorithm, Information Sciences 177 (2007) 1349-1363.
    • (2007) Information Sciences , vol.177 , pp. 1349-1363
    • Xie, B.1    Han, P.2    Yang, F.3    Shen, R.-M.4    Zeng, H.-J.5    Chen, Z.6
  • 5
    • 9244231155 scopus 로고    scopus 로고
    • A hybrid collaborative filtering method for multiple-interests and multiplecontent recommendation in E-Commerce
    • Yu Li, Liu Lu, Li Xuefeng, A hybrid collaborative filtering method for multiple-interests and multiplecontent recommendation in E-Commerce, Expert Systems with Applications 28 (2005) 67-77.
    • (2005) Expert Systems with Applications , vol.28 , pp. 67-77
    • Li, Y.1    Lu, L.2    Li, X.3
  • 6
    • 3843093841 scopus 로고    scopus 로고
    • Learning User Similarity and Rating Style for Collaborative Recommendation
    • Kwok-Wai Cheung, Lily F. Tian, Learning User Similarity and Rating Style for Collaborative Recommendation, Information Retrieval, 2004, 7, 395-410.
    • (2004) Information Retrieval , vol.7 , pp. 395-410
    • Cheung, K.-W.1    Tian, L.F.2
  • 7
    • 18144426794 scopus 로고    scopus 로고
    • Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences
    • Duen-Ren Liu, Ya-Yueh Shih, Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences, The Journal of Systems and Software 77 (2005) 181-191.
    • (2005) The Journal of Systems and Software , vol.77 , pp. 181-191
    • Liu, D.-R.1    Shih, Y.-Y.2
  • 8
    • 34547328189 scopus 로고    scopus 로고
    • Huang qin-hua, Ouyang wei-min, Fuzzy collaborative filtering with multiple agents, Journal of Shanghai University (English Edition), 2007, 11(3):290-295.
    • Huang qin-hua, Ouyang wei-min, Fuzzy collaborative filtering with multiple agents, Journal of Shanghai University (English Edition), 2007, 11(3):290-295.
  • 9
    • 2942590810 scopus 로고    scopus 로고
    • A scalable P2P recommender system based on distributed collaborative filtering
    • Peng Han, Bo Xie, Fan Yang, Ruimin Shen, A scalable P2P recommender system based on distributed collaborative filtering, Expert Systems with Applications 27 (2004) 203-210.
    • (2004) Expert Systems with Applications , vol.27 , pp. 203-210
    • Han, P.1    Xie, B.2    Yang, F.3    Shen, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.