Personalized product recommendation in E-commerce

被引：0
|
作者：
Weng, SS [1 ]
Liu, MJ [1 ]
机构：
[1] Fu Jen Catholic Univ, Dept Informat Management, Taipei, Taiwan
来源：
2004 IEEE INTERNATIONAL CONFERNECE ON E-TECHNOLOGY, E-COMMERE AND E-SERVICE, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The purpose of this paper is to analyze customers' purchasing behaviors based on product features from transaction records and product feature databases. Customers' preferences toward particular features of products are analyzed and then rules of customer interest profiles are thus derived in order to recommend customers products that have potential attraction with customers. The approach of this paper has its strength to be able to recommend to customers brand new products or rarely purchased products as long as they fit customer interest profiles. This research also derives customers' interest profiles that can explain recommendation results. The interests on particular features of products can be referenced for product development.
引用
收藏
页码：413 / 420
页数：8
相关论文
共 50 条
  • [31] Research on Personalized Recommendation of E-commerce Based on Ant Colony Algorithm
    Wu, Lianxiang
    AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2649 - 2652
  • [32] Personalized recommendation system of e-commerce based on big data analysis
    Chen, Hua
    JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2018, 21 (05) : 1243 - 1247
  • [33] An Approach of Personalized Recommendation for E-Commerce Websites Based on Sequential Patterns
    Deng, Weihua
    Yi, Ming
    SEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III: UNLOCKING THE FULL POTENTIAL OF GLOBAL TECHNOLOGY, 2008, : 146 - 152
  • [34] The Sustainable Development of E-commerce Based on an Improved Personalized Recommendation System
    Zhang Chunji
    PROCEEDINGS OF THE 10TH EURO-ASIA CONFERENCE ON ENVIRONMENT AND CORPORATE SOCIAL RESPONSIBILITY: TOURISM, SOCIETY AND EDUCATION SESSION, PT III, 2014, : 190 - 197
  • [35] PERSONALIZED INFORMATION RECOMMENDATION IN E-COMMERCE BASED ON RSS AND ONTOLOGY INFERENCE
    Fang, Meiqi
    He, Siping
    PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, : 1530 - 1532
  • [36] E-commerce personalized recommendation analysis by deeply-learned clustering
    Wang, Kai
    Zhang, Tiantian
    Xue, Tianqiao
    Lu, Yu
    Na, Sang-Gyun
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2020, 71
  • [37] The Technology of Personalized Information Recommendation in The Third Party E-Commerce Platform
    Zheng, Hua
    PROCEEDINGS OF 2008 INTERNATIONAL PRE-OLYMPIC CONGRESS ON COMPUTER SCIENCE, VOL I: COMPUTER SCIENCE AND ENGINEERING, 2008, : 423 - 428
  • [38] An E-Commerce Personalized Recommendation Algorithm Based on Multiple Social Relationships
    Bin, Sheng
    SUSTAINABILITY, 2024, 16 (01)
  • [39] Research on E-Commerce Platform-Based Personalized Recommendation Algorithm
    Zhang, Zhijun
    Xu, Gongwen
    Zhang, Pengfei
    APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING, 2016, 2016
  • [40] Personalized E-commerce recommendation algorithm based on customer features and AGA
    Zhang, Jun
    Wu, Ping
    ENERGY SCIENCE AND APPLIED TECHNOLOGY, 2016, : 331 - 335
12345