Title :
Recommendation strategies analysis in E-commerce
Author_Institution :
Economics and Management College, Zhongyuan University of Technology, Zhengzhou, Henan, China
Abstract :
With the development of personalized recommendation research, it has become increasingly important that how to select proper technology to set up recommendation system. In this paper, a few familiar personalized recommendation technologies are introduced briefly at first, while their characters are also analyzed. Then, corresponding strategies are put forward according to characteristics of products and guests. Structures of personalized recommendation system are suggested and their work principles are analyzed.
Keywords :
Association rules; Collaboration; Filtering; Filtering algorithms; Information management; Monitoring; Association rule; Collaborative filtering; E-commerce; Recommendation strategy;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5690278
