Ant Colony Clustering Algorithm for Personalized Recommendation of E-Commerce

被引：1
|
作者：
Li, Bin [1 ,2 ,3 ]
机构：
[1] Nanchang Vocat Univ, Nanchang 330500, Jiangxi, Peoples R China
[2] Nanchang Vocat Coll, Informat Technol Dept, Gen Party Branch, Nanchang, Jiangxi, Peoples R China
[3] Jiangxi Prov Intermediate Double Qualificat Teach, Nanchang, Jiangxi, Peoples R China
来源：
2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020) | 2020年
关键词：
data mining; e-commerce; ant colony; clustering; algorithm; ELECTRONIC COMMERCE; ADOPTION;
D O I：
10.1109/ICMCCE51767.2020.00407
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
How to use the data mining and analysis algorithm to carry out e-commerce recommendation has become one of the important contents of the current information technology development. Therefore, in this paper, research on ant colony clustering algorithm for personalized recommendation of e-commerce was proposed. The domestic and foreign research on e-commerce recommendation was simply summarized. Through the classical clustering algorithm in ant colony algorithm, an e-commerce recommendation algorithm was designed. Then the experimental results of the proposed algorithm prove that the algorithm is a very effective e-commerce recommendation algorithm, but also better than other e-commerce recommendation algorithms.
引用
收藏
页码：1855 / 1860
页数：6
相关论文
共 50 条
  • [21] Personalized E-commerce Recommendation Based on Ontology
    Lin, Peiguang
    Yang, Feng
    Yu, Xiao
    Xu, Qun
    ICICSE: 2008 INTERNATIONAL CONFERENCE ON INTERNET COMPUTING IN SCIENCE AND ENGINEERING, PROCEEDINGS, 2008, : 201 - +
  • [22] Competitive Recommendation Algorithm for E-commerce
    Nadine, Umutoni
    Cao, Huiying
    Deng, Jiangzhou
    2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 1539 - 1542
  • [23] A personalization recommendation algorithm for e-commerce
    Li, Hui
    Zhang, Shu
    Wang, Xia
    Journal of Software, 2013, 8 (01) : 176 - 183
  • [24] An improved recommendation algorithm in E-commerce
    Zhang, Xuemin
    Xiong, Zenggang
    Wang, Jinhe
    ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3, 2008, : 2317 - +
  • [25] Big Data-Based Recommendation Algorithm in E-commerce Personalized Marketing
    Li, Shujun
    Li, Li
    Cui, Yiwen
    Wu, Xueyan
    E-BUSINESS: DIGITAL EMPOWERMENT FOR AN INTELLIGENT FUTURE, PT I, WHICEB 2023, 2023, 480 : 62 - 71
  • [26] A Personalized Recommendation Algorithm Based on the User's Implicit Feedback in E-Commerce
    Wang, Bo
    Ye, Feiyue
    Xu, Jialu
    FUTURE INTERNET, 2018, 10 (12)
  • [27] Research on TSP problem in E-commerce tourist based on ant colony algorithm
    Ding, Yanping
    International Journal of u- and e- Service, Science and Technology, 2014, 7 (03) : 277 - 288
  • [28] Personalized Recommendation Based on Ontology Inference in e-Commerce
    He, Siping
    Fang, Meiqi
    INTERNATIONAL CONFERENCE ON MANAGEMENT OF E-COMMERCE AND E-GOVERNMENT, PROCEEDINGS, 2008, : 192 - 195
  • [29] An Industrial Framework for Personalized Serendipitous Recommendation in E-commerce
    Wang, Zongyi
    Zou, Yanyan
    Hou, Linfang
    Dai, Anyu
    Qiao, Nan
    Zou, Luobao
    Ma, Mian
    Ding, Zhuoye
    Xu, Sulong
    PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023, 2023, : 1015 - 1018
  • [30] The Design and Realization of Personalized E-commerce Recommendation System
    Wen, Xiaosen
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND TECHNOLOGY EDUCATION (ICSSTE 2015), 2015, 18 : 292 - 295
12345