A Personalized Recommendation Model Based on Users' Information Behavior

被引：0
|
作者：
Li, Suming [1 ]
Li, Xianqin [1 ]
机构：
[1] Nanchang Inst Sci & Technol, Sch Natl Educ, Nanchang 330108, Peoples R China
来源：
PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC) | 2016年 / 88卷
关键词：
Network Users; Information Behavior; Personalized Recommendation;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
By collecting and analyzing the users' information behavior, the users' real interest can be obtained, and the recommendation of users' need can be generated. This paper explores the basic concept and the related technology of personalized recommendation. On that basis, this paper proposes a personalized recommendation model based on users' information behavior. The experiment shows that this model has some advantages in the accuracy, the stability and the efficiency of recommendation.
引用
收藏
页码：1248 / 1251
页数：4
相关论文
共 50 条
  • [1] Personalized Information Recommendation Model Based on Semantic Grid
    Sun, Yusheng
    Dong, Hui
    INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS, 2009, : 52 - 57
  • [2] Information Usage Behavior and Importance: Korean Scientist and Engineer Users of a Personalized Recommendation Service
    Park, Jung-Hoon
    Park, Seong Eun
    Choi, Hee-Seok
    Hwang, Yun-Young
    INFORMATION, 2019, 10 (05)
  • [3] Personalized Recommendation for Individual Users Based on the Group Recommendation Principles
    Kompan, Michal
    Bielikova, Maria
    STUDIES IN INFORMATICS AND CONTROL, 2013, 22 (03): : 331 - 342
  • [4] Personalized Review Recommendation based on Users' Aspect Sentiment
    Huang, Chunli
    Jiang, Wenjun
    Wu, Jie
    Wang, Guojun
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2020, 20 (04)
  • [5] Personalized information recommendation model based on context contribution and item correlation
    Lu, Qibei
    Guo, Feipeng
    MEASUREMENT, 2019, 142 : 30 - 39
  • [6] Agent-based simulation model of customer behavior and personalized recommendation
    Jin, Chun
    Zhang, Yi-Ping
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2013, 33 (02): : 463 - 472
  • [7] Personalized Recommendation Model for Mobile E-commerce Users
    Zhang Xiaona
    2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021), 2021, : 707 - 710
  • [8] Personalized Microblogs Corpus Recommendation based on Dynamic Users Interests
    Khater, Shaymaa
    Elmongui, Hicham G.
    Gracanin, Denis
    2013 ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM), 2013, : 979 - 982
  • [9] Personalized News Recommendation Based on Click Behavior
    Liu, Jiahui
    Dolan, Peter
    Pedersen, Elin Ronby
    IUI 2010, 2010, : 31 - 40
  • [10] Personalized Recommendation for Weibo Comic Users
    Sun, Yan
    Lv, Haoran
    Liu, Xu
    Xu, Peng
    Huang, Yun
    Sun, Yuqian
    2018 WIRELESS TELECOMMUNICATIONS SYMPOSIUM (WTS), 2018,
12345