A Personalized Recommendation Model in E Commerce Based on TOPSIS Algorithm

被引：6

作者：

Wang, Liang ^{[1
,2
]}

Zhang, Runtong ^{[2
]}

Ruan, Huan ^{[1
]}

机构：

[1] Beijing Inst Graph Commun, Sch Econ & Management, Beijing, Peoples R China

[2] Beijing Jiaotong Univ, Inst Informat Syst, Beijing, Peoples R China

来源：

JOURNAL OF ELECTRONIC COMMERCE IN ORGANIZATIONS | 2014年 / 12卷 / 02期

关键词：

E-Commerce; Index System; Personalized Recommendation; TOPSIS Algorithm; User Behavior Analysis;

D O I：

10.4018/jeco.2014040107

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

From the perspective of performance and universality, this paper analyzed the characteristics of typical technologies for personalized recommendation system, and then made a basic architecture for the improved model. With the architecture, this paper introduced a personalized recommendation model in e-commerce system. The model is based on an n-tiers structure and the TOPSIS algorithm, first standardize the user evaluation indexes, and then determine the indexes weights according to user's needs, and finally calculate the personalized recommendation results. This model can be applied to a variety of e-commerce applications, especially for the e-commerce application with structured or semi-structured products such as digital books, journals and other publications.

引用

页码：89 / 100

页数：12

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