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
收藏
页码：89 / 100
页数：12
相关论文
共 50 条
[1]   Research on Personalized Recommendation of E-commerce Based on Ant Colony Algorithm [J].
Wu, Lianxiang .
AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03) :2649-2652
[2]   Personalized E-commerce recommendation algorithm based on customer features and AGA [J].
Zhang, Jun ;
Wu, Ping .
ENERGY SCIENCE AND APPLIED TECHNOLOGY, 2016, :331-335
[3]   Personalized Recommendation Algorithm of E-commerce Based on Cloud Computing [J].
Yang, Li ;
He, Hongxia ;
Lan, Haixia ;
Shi, Yujuan .
PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (ICASET 2017), 2017, 122 :197-200
[4]   Personalized Recommendation Algorithm of E-commerce based on Cloud Computing [J].
Xu, Chongming ;
Zhang, Jinyan .
PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (ICASET 2017), 2017, 122 :123-126
[5]   Personalized Recommendation Model for Mobile E-commerce Users [J].
Zhang Xiaona .
2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021), 2021, :707-710
[6]   Ant Colony Clustering Algorithm for Personalized Recommendation of E-Commerce [J].
Li, Bin .
2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, :1855-1860
[7]   Personalized recommendation system of e-commerce based on big data analysis [J].
Chen, Hua .
JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2018, 21 (05) :1243-1247
[8]   PERSONALIZED INFORMATION RECOMMENDATION IN E-COMMERCE BASED ON RSS AND ONTOLOGY INFERENCE [J].
Fang, Meiqi ;
He, Siping .
PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, :1530-1532
[9]   Research on entropy-based collaborative filtering algorithm and personalized recommendation in e-commerce [J].
Piao, Chun-Hui ;
Zhao, Jing ;
Zheng, Li-Juan .
SERVICE ORIENTED COMPUTING AND APPLICATIONS, 2009, 3 (02) :147-157
[10]   Research on Personalized Recommendation Algorithm for Electronic Commerce [J].
Shao, Kang ;
Peng, Yuan-Qi ;
Zhang, Peng-Cheng .
2015 International Conference on Software Engineering and Information System (SEIS 2015), 2015, :780-785
12345