Trust-based top-k item recommendation in social networks

被引：0
|
作者：
Xing, Xing [1 ]
Zhang, Weishi [1 ]
Jia, Zhichun [1 ,2 ]
Zhang, Xiuguo [1 ]
Xu, Nan [1 ]
机构：
[1] School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
[2] Department of Computer Science, University of New Mexico, Albuquerque 87131, United States
来源：
Journal of Information and Computational Science | 2013年 / 10卷 / 12期
关键词：
D O I：
10.12733/jics20102112
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3685 / 3696
相关论文
共 50 条
  • [1] Trust-Based Social Item Recommendation: A Case Study
    Xing, Xing
    Zhang, Weishi
    Jia, Zhichun
    Zhang, Xiuguo
    PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012), 2012, : 1050 - 1053
  • [2] Top-k Link Recommendation in Social Networks
    Song, Dongjin
    Meyer, David A.
    Tao, Dacheng
    2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2015, : 389 - 398
  • [3] Item-based Top-k Influential User Discovery in Social Networks
    Guo, Jing
    Zhang, Peng
    Zhou, Chuan
    Cao, Yanan
    Guo, Li
    2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2013, : 780 - 787
  • [4] A trust-based probabilistic recommendation model for social networks
    Wang, Yingjie
    Yin, Guisheng
    Cai, Zhipeng
    Dong, Yuxin
    Dong, Hongbin
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2015, 55 : 59 - 67
  • [5] A Comprehensive Trust-Based Item Evaluation Model for Recommendation in Social Network
    Cui, Laizhong
    Ou, Peng
    Lu, Nan
    Zhang, Guanjing
    2016 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATION (ISCC), 2016, : 1090 - 1096
  • [6] Trust-Based Recommendation for the Social Web
    Oliveira, A. D. R.
    Bessa, L. N.
    Andrade, T. R.
    Filgueiras, L. V. L.
    Sichman, J. S.
    IEEE LATIN AMERICA TRANSACTIONS, 2012, 10 (02) : 1661 - 1666
  • [7] FRFB: Top-k Followee Recommendation by exploring the Following Behaviors in social networks
    Xue, Zhengyuan
    Li, Ruixuan
    Li, Yuhua
    Huo, Lin
    Gu, Xiwu
    Xiao, Weijun
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 30 (15):
  • [8] NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation
    Li, Dedong
    Zhou, Aimin
    Shi, Chuan
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2019, PT III, 2019, 11441 : 15 - 26
  • [9] TRecSo: Enhancing Top-k Recommendation With Social Information
    Park, Chanyoung
    Kim, Donghyun
    Oh, Jinoh
    Yu, Hwanjo
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16 COMPANION), 2016, : 89 - 90
  • [10] TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks
    Khaledian, Navid
    Nazari, Amin
    Khamforoosh, Keyhan
    Abualigah, Laith
    Javaheri, Danial
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 228
12345