An improvement to collaborative filtering for recommender systems

Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet

Volumn 1, Issue , 2005, Pages 792-795

  Weng, Li Tung ^a   Xu, Yue ^a   Li, Yuefeng ^a   Nayak, Richi ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; CORRELATION METHODS; DATABASE SYSTEMS; ELECTRONIC COMMERCE; NATURAL FREQUENCIES;

COLLABORATIVE FILTERING; RECOMMENDER SYSTEMS; STATISTICAL ATTRIBUTE DISTANCE METHODS;

DIGITAL FILTERS;

EID: 33847238791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J. S. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," presented at 14th Conference on Uncertainty in Artificial Intelligence, Madison, WI, 1998.
2. J. B. Schafer, J. A. Konstan, and J. Riedl, "E-Commerce Recommendation Applications," Journal of Data Mining and Knowledge Discovery, vol. 5, pp. 115-152, 2000.
3. A. Tuzhilin and G. Adomavicius, "Recommendation Technologies: Survey of Current Methods and Possible Extensions," Stern School of Business, New York University, New York, Working paper 2003.
4. C. Zeng, C.-X. Xing, and L.-Z. Zhou, "Similarity Measure and Instance Selection for Collaborative Filtering," presented at 12th international conference on World Wide Web, Budapest, Hungary, 2003.
5. G. Saloton and M. McGill, Introduction to Modern Information Retrieval. New York: McGraw-Hill, 1983.