A NOVEL NEURAL COLLABORATIVE FILTERING RECOMMENDATION BASED ON SIDE INFORMATION FUSION

被引：0
|
作者：
Mu, Ruihui [1 ]
机构：
[1] Xinxiang Univ, Coll Comp & Informat Engn, Xinxiang 453000, Henan, Peoples R China
来源：
COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES | 2023年 / 76卷 / 01期
关键词：
neural network; side information; denoising autoencoder; rating information;
D O I：
10.7546/CRABS.2023.01.09
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
It is difficult to accurately learn user's latent features using only one single data source. In order to solve these problems, we consider to utilize relevant side information of users or items as a supplement to rating information to enhance the performance of recommender systems, and propose a novel neural collaborative filtering recommendation model based on side information fusion. Extensive experiments on different datasets validate the efficiency and accuracy of our proposed framework.
引用
收藏
页码：84 / 95
页数：12
相关论文
共 50 条
  • [1] Neural variational collaborative filtering with side information for top-K recommendation
    Xiaoyi Deng
    Fuzhen Zhuang
    Zhiguo Zhu
    International Journal of Machine Learning and Cybernetics, 2019, 10 : 3273 - 3284
  • [2] Neural variational collaborative filtering with side information for top-K recommendation
    Deng, Xiaoyi
    Zhuang, Fuzhen
    Zhu, Zhiguo
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (11) : 3273 - 3284
  • [3] Collaborative filtering recommendation algorithm based on deep neural network fusion
    Fang, Juan
    Li, Baocai
    Gao, Mingxia
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2020, 34 (02) : 71 - 80
  • [4] Joint Neural Collaborative Filtering with Basic Side Information
    Wang, Shuo
    Tian, Hui
    Fan, Shaoshuai
    Hu, Boyang
    Liu, Baoling
    HUMAN CENTERED COMPUTING, 2019, 11956 : 431 - 442
  • [5] Neural Variational Matrix Factorization with Side Information for Collaborative Filtering
    Xiao, Teng
    Shen, Hong
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2019, PT I, 2019, 11439 : 414 - 425
  • [6] A Novel Neural Collaborative Filtering Model with Auxiliary Information
    Liu, Yu
    Guo, Weibin
    Zang, Dawei
    PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 695 - 699
  • [7] Neural model based collaborative filtering for movie recommendation system
    Jena K.K.
    Bhoi S.K.
    Mallick C.
    Jena S.R.
    Kumar R.
    Long H.V.
    Son N.T.K.
    International Journal of Information Technology, 2022, 14 (4) : 2067 - 2077
  • [8] Neural Network Collaborative Filtering for Group Recommendation
    Zhang, Wei
    Bai, Yue
    Zheng, Jun
    Pang, Jiaona
    NEURAL INFORMATION PROCESSING (ICONIP 2018), PT VI, 2018, 11306 : 131 - 143
  • [9] INTEGRATING RATING INFORMATION AND SOCIAL INFORMATION FOR COLLABORATIVE FILTERING RECOMMENDATION
    Mu, Ruihui
    COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, 2019, 72 (05): : 584 - +
  • [10] Auto-Encoder for Collaborative Filtering Based on Side-Information Enhancement
    Liu H.-B.
    Feng S.
    Yu G.
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2019, 40 (11): : 1527 - 1532
12345