[1] |
Xingyao YANG, Yu CHEN, Jiong YU, Zulian ZHANG, Jiaying CHEN, Dongxiao WANG.
Recommendation model combining self-features and contrastive learning
[J]. Journal of Computer Applications, 2024, 44(9): 2704-2710.
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[2] |
Tingjie TANG, Jiajin HUANG, Jin QIN, Hui LU.
Session-based recommendation based on graph co-occurrence enhanced multi-layer perceptron
[J]. Journal of Computer Applications, 2024, 44(8): 2357-2364.
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[3] |
Jiong WANG, Taotao TANG, Caiyan JIA.
PAGCL: positive augmentation graph contrastive learning recommendation method without negative sampling
[J]. Journal of Computer Applications, 2024, 44(5): 1485-1492.
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[4] |
Zhiwen JING, Yujia ZHANG, Boting SUN, Hao GUO.
Two-stage recommendation algorithm of Siamese graph convolutional neural network
[J]. Journal of Computer Applications, 2024, 44(2): 469-476.
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[5] |
Beijing ZHOU, Hairong WANG, Yimeng WANG, Lisi ZHANG, He MA.
Recommendation method using knowledge graph embedding propagation
[J]. Journal of Computer Applications, 2024, 44(10): 3252-3259.
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[6] |
Runchao PAN, Qishan YU, Hongfei XIONG, Zhihui LIU.
Collaborative recommendation algorithm based on deep graph neural network
[J]. Journal of Computer Applications, 2023, 43(9): 2741-2746.
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[7] |
Shijie PENG, Hongmei CHEN, Lizhen WANG, Qing XIAO.
Hybrid point-of-interest recommendation model based on geographic preference ranking
[J]. Journal of Computer Applications, 2023, 43(8): 2448-2455.
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[8] |
Kunpei YE, Xi XIONG, Zhe DING.
Recruitment recommendation model based on field fusion and time weight
[J]. Journal of Computer Applications, 2023, 43(7): 2133-2139.
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[9] |
Chuyuan WEI, Mengke WANG, Chuanhao HU, Guangqi ZHANG.
Deep review attention neural network model for enhancing explainability of recommendation system
[J]. Journal of Computer Applications, 2023, 43(11): 3443-3448.
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[10] |
Xuejian ZHAO, Hao LI, Haotian TANG.
Recommendation rating prediction algorithm based on user interest concept lattice reduction
[J]. Journal of Computer Applications, 2023, 43(11): 3340-3345.
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[11] |
Xiaohan YANG, Guosheng HAO, Xiehua ZHANG, Zihao YANG.
Collaborative filtering algorithm based on collaborative training and Boosting
[J]. Journal of Computer Applications, 2023, 43(10): 3136-3141.
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[12] |
YAO Huayong, YE Dongyi, CHEN Zhaojiong.
Multi-round conversational reinforcement learning recommendation algorithm via multi-granularity feedback
[J]. Journal of Computer Applications, 2023, 43(1): 15-21.
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[13] |
Meng YU, Wentao HE, Xuchuan ZHOU, Mengtian CUI, Keqi WU, Wenjie ZHOU.
Review of recommendation system
[J]. Journal of Computer Applications, 2022, 42(6): 1898-1913.
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[14] |
Jiafan ZHOU, Yuefeng DU, Baoyan SONG, Xiaoguang LI, Azhu ZHAO, Xujie XIAO.
MOOC video recommendation method based on meta-path attention mechanism
[J]. Journal of Computer Applications, 2022, 42(6): 1808-1813.
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[15] |
Wenjing JIANG, Xi XIONG, Zhongzhi LI, Binyong LI.
Recommendation system based on non-sampling collaborative knowledge graph network
[J]. Journal of Computer Applications, 2022, 42(4): 1057-1064.
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