Title :
Notice of Retraction
Research on recommender system in e-commerce based on Web mining
Author :
Shen Zihao ; Wang Hui
Author_Institution :
Coll. of Comput., Henan Polytech. Univer, Jiaozuo, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper introduces Web mining technologies, analyzes the Web mining process often used in recommender system. We propose a recommender system model framework and design the recommender system in E-commerce. The model framework consists of data acquisition module, off-line module and online module, which solves the balance problem between recommendation accuracy and respond efficiency. The experiment data shows that the recommender system effectively improves the accuracy of the algorithm, reduces the response time, and has a very good recommendation effect and a certain application value.
Keywords :
Internet; data acquisition; data mining; electronic commerce; recommender systems; Web mining; data acquisition module; e-commerce; recommendation effect; recommender system; Accuracy; Analytical models; Engines; Gold; Recommender systems; E-commerce; Web mining; association analysis; data preprocessing; recommender system;
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6931-4
DOI :
10.1109/ICAMS.2010.5552941
