Title :
Research on Personalized Sports E-commerce Recommendation System
Author :
Luo, Qi ; Sun, Yan
Author_Institution :
Coll. of Phys. Educ., Huazhong Normal Univ., Wuhan, China
fDate :
June 29 2010-July 1 2010
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;
Conference_Titel :
Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7475-2
DOI :
10.1109/ICCSNA.2010.5588820
