[1] |
魏云鹤,马慧芳,姜彦斌,等.融合社交信息的局部潜在空间推荐方法[J].计算机工程与科学,2021,43(9):1653-1659.
|
|
Wei Yun-he,Ma Hui-fang,Jiang Yan-bin,et al. A local latent space recommendation method fusing social information[J].Computer Engineering & Science,2021,43(9):1653-1659.
|
[2] |
贾俊杰,刘鹏涛,陈旺虎.融合社交信息的矩阵分解改进推荐算法[J].计算机工程,2021,47(9):97-105.
|
|
Jia Jun-jie,Liu Peng-tao,Chen Wang-hu. Improved matrix factorization algorithm using social information for recommendation[J].Computer Engineering,2021,47(9):97-105.
|
[3] |
Gao C,He X,Gan D,et al. Neural multi-task recommendation from multi-behavior data[C]∥Proc of the 35th International Conference on Data Engineering,2019:1554-1557.
|
[4] |
Chen C,Zhang M,Zhang Y,et al.Efficient heterogeneous collaborative filtering without negative sampling for recommendation[C]∥Proc of the 34th AAAI Conference on Artificial Intelligence,2020:19-26.
|
[5] |
Jin B, Gao C,He X,et al.Multi-behavior recommendation with graph convolutional networks[C]∥Proc of the 43rd International ACM SIGIR Conference on Research and Deve- lopment in Information Retrieval,2020:659-668.
|
[6] |
Wu J,Wang X,Feng F,et al.Self-supervised graph learning for recommendation[C]∥Proc of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,2021:726-735.
|
[7] |
Wei W,Huang C,Xia L,et al.Contrastive meta learning with behavior multiplicity for recommendation[C]∥Proc of the 15th ACM International Conference on Web Search and Data Mining,2022:1120-1128.
|
[8] |
He X,Deng K,Wang X,et al.LightGCN:Simplifying and powering graph convolution network for recommendation[C]∥Proc of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,2020:639-648.
|
[9] |
Wang X,Liu N,Han H,et al.Self-supervised heterogeneous graph neural network with co-contrastive learning[C]∥Proc of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,2021:1726-1736.
|
[10] |
Qiao S,Shen W,Zhang Z,et al.Deep co-training for semi-supervised image recognition[C]∥Proc of the 15th European Conference on Computer Vision,2018:135-152.
|
[11] |
Li Q, Ma H,Zhang R,et al.Co-contrastive learning for multi-behavior recommendation[C]∥Proc of the 19th Paci- fic Rim International Conference on Artificial Intelligence,2022:32-45.
|
[12] |
He X,Liao L,Zhang H,et al.Neural collaborative filtering[C]∥Proc of the 26th International Conference on World Wide Web,2017:173-182.
|
[13] |
Chen C,Zhang M,Zhang Y,et al.Efficient neural matrix factorization without sampling for recommendation[J].ACM Transactions on Information Systems,2020,38(2):1-28.
|