Study of the model of e-commerce personalized recommendation system based on data mining

Proceedings of the International Symposium on Electronic Commerce and Security, ISECS 2008

Volumn , Issue , 2008, Pages 647-651

  Fan, Yongjian ^a   Shen, Yanguang ^a   Mai, Jianying ^b  

^a HEBEI UNIVERSITY OF ENGINEERING   (China)

^b Artillery Command Academy of PLA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; ELECTRONIC COMMERCE; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; MINING;

E-COMMERCE; EFFICIENT; PERSONALIZED RECOMMENDATION SYSTEMS; PERSONALIZED SERVICES; RECOMMENDATION ALGORITHMS; RECOMMENDATION METHODS; TIME REQUIREMENTS;

COMMERCE;

EID: 54049132503     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISECS.2008.106     Document Type: Conference Paper

References (5)

1. Wang Cong (2006). "Study on E-Commence Recommendation System Based on Web Data Mining", Ms D Thesis, Shandong University of Science and Technology
2. Yanguang Shen, and Lili Xing, and Yiting Peng. "Study and Application of Web-based Data Mining in EBusiness", Eighth ACIS International Conference Qingdao, P.R. China, July, 2007, pp. 812-816
3. Weigang Guo, and Libing Song. "Mining User Access Patterns at E-commerce Sites", Microelectronics & Computer, 2005, 22(5)pp. 173
4. Fengzhao Yang, and Hui Bai, "Application of Anomaly Detection in E-commerce", Information Magazine, Xi'an, 2005(12), pp. 51-53.
5. J. Ben Schafer (2000). "Systems in E-Commerce", Ms D Thesis, University of California, Berkeley, 2000.