A dynamic framework for maintaining customer profiles in E-commerce recommender systems

Proceedings - 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05

Volumn , Issue , 2005, Pages 768-771

  Haruechaiyasak, Choochart ^a   Tipnoe, Chatchawal ^a   Kongyoung, Sarawoot ^a   Damrongrat, Chaianun ^a   Angkawattanawit, Niran ^a  

^a NATIONAL ELECTRONICS AND COMPUTER TECHNOLOGY CENTER   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; ELECTRONIC COMMERCE; LEARNING ALGORITHMS; PRODUCT DEVELOPMENT; QUALITY OF SERVICE;

CLUSTERING TECHNIQUE; DATA SETS; RECOMMENDER SYSTEMS;

DYNAMIC LOADS;

EID: 30944439285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EEE.2005.8     Document Type: Conference Paper

References (7)

1. J. Herlocker, J. Konstan, A. Borchers, and J. Riedl, "An Algorithmic Framework for Performing Collaborative Filtering," Proc. of the 1999 Conf. on Research and Development in Information Retrieval, Aug. 1999.
2. E. Rasmussen, "Clustering algorithms," in W. Frakes and R. Baeza-Yates (eds.), Information Retrieval: Data Structures and Algorithms, Prentice Hall, 1992.
3. P. Resnick, N. Iacovou, M. Sushak, P. Bergstrom, and J. Riedl, "Grouplons: An open architecture for collaborative filtering of Netnews," Proc. of ACM 1994 Conf. on Comput. Supported Cooperative Work, pp. 175-186, Oct. 1994.
4. B. M. Sarwar, G. Karypis, J. Konstan, and J. T. Riedl, "Application of dimensionality reduction in recommender system-A case study," Proc. of ACM WEBKDD, pp. 82-90, 2000.
5. J. B. Schafer, J. A. Konstan, and J. Riedl, "E-commerce recommendation application," Data Mining and Knowledge Discovery, 5(1/2):115-153, 2001.
6. L. H. Ungar and D. P. Foster, "Clustering methods for Collaborative Filtering," Proc. of the AAAI-98 Work-shop on Recommender Systems, pp. 112-125, 1998.
7. MovieLens Project Web site, http://movielens.umn.edu