Research on Personalized Sports E-commerce Recommendation System

Author

Luo, Qi ; Sun, Yan

Author_Institution

Coll. of Phys. Educ., Huazhong Normal Univ., Wuhan, China

Volume

2

fYear

2010

fDate

June 29 2010-July 1 2010

Firstpage

387

Lastpage

390

Abstract

With the improvement of people´s living standards, pursuiting fitness and longevity, and enjoying sports concept tours and entertainment are palying an important part in sports purchasing power. “Fitness” and “Beijing 2008 Olympic Games,” are make sports market more flourishing. To meet the personalized needs of customers in Sports E-commerce, a Personalized Sports E-commerce Recommendation System (PSERS) was proposed in the paper. The structure of system and key technologies of realizing user interest module, personalized recommendation algorithm module are introduced in the paper. In the future, The system will be realized and tested.

Keywords

data mining; electronic commerce; groupware; purchasing; recommender systems; sport; e-commerce recommendation system; personalized recommendation algorithm module; personalized sports e-commerce; sports market; sports purchasing power; Information filters; Libraries; Association mining; Collaborative filtering; Personalized recommendation service; sports purchasing power;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-7475-2

Type

conf

DOI

10.1109/ICCSNA.2010.5588820

Filename

5588820