A study of personalized recommendation evaluation based on customer satisfaction in E-commerce

Author

Liu Beilin

Author_Institution

Sch. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China

fYear

2011

fDate

27-29 June 2011

Firstpage

129

Lastpage

132

Abstract

The study of personalized recommendation in E-commerce has become the hot topic in the study of E-commerce application. This thesis puts forward a method of personalized recommendation evaluation in E-commerce based on customer satisfaction, constructs a target system of personalized recommendation evaluation in E-commerce based on customer satisfaction by the approach of AHP, and enhances the objectivity of evaluation result by combining gradation analyses method with grey evaluation method. Finally, the thesis verifies the validity of the method by evaluating the personalized recommendation of dangdang.com.

Keywords

customer satisfaction; electronic commerce; grey systems; recommender systems; AHP; customer satisfaction; e-commerce; gradation analyses method; grey evaluation method; personalized recommendation evaluation; Bismuth; Customer satisfaction; Digital cameras; Indexes; Reliability; Systematics; AHP; Customer Satisfaction Targets; Grey Evaluation; Personalized recommendation; Weights;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5974472

Filename

5974472