user

An improved recommendation algorithm in E-commerce

被引：0
|
作者：
Zhang, Xuemin [1 ,2 ]
Xiong, Zenggang [1 ,2 ]
Wang, Jinhe [3 ]
机构：
[1] Xiaogan Univ, Dept Comp & Sci, Xiaogan 432000, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
[3] Qingdao Technol Univ, Sch Comp Engn, Qingdao 266033, Shandong, Peoples R China
来源：
ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ICIEA.2008.4582931
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To improve the drawback of collaborative-based recommendation algorithm and content-based recommendation algorithm in E-commerce, a new algorithm is proposed, which is integrated the collaborative-based recommendation and content-based recommendation algorithm. In E-commerce system, user information is divided into field information and atomic information according to the two classifications. First, collaborative-based recommendation algorithm is adopted for field information, and then content-based recommendation algorithm is used to atomic information. Theoretical analysis and simulations prove that the improved recommendation algorithm outperforms the traditional algorithms.
引用
收藏
页码：2317 / +
页数：2
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