[1] |
ZHANG Qishan, CHEN Lulu.
Slope One Algorithm Based on Grey Correlational Analysis by Method of Degree of Balance and Approach
[J]. Computer Engineering and Applications, 2021, 57(9): 96-102.
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[2] |
WANG Yonggui, LI Qianyu.
Hybrid Collaborative Filtering Recommendation Algorithm Based on KNN-GBDT
[J]. Computer Engineering and Applications, 2021, 57(9): 103-108.
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[3] |
TIAN Wei’an, CHEN Hongmei, ZHOU Lihua.
Diversified Recommendation Method Based on Similar Users’Curiosity
[J]. Computer Engineering and Applications, 2021, 57(23): 113-121.
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[4] |
WU Hao, XU Xingjian, MENG Fanjun.
Knowledge Graph-Assisted Multi-task Feature-Based Course Recommendation Algorithm
[J]. Computer Engineering and Applications, 2021, 57(21): 132-139.
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[5] |
WANG Yingbo, SUN Yongdi.
GNN-Based Matrix Factorization Recommendation Algorithm
[J]. Computer Engineering and Applications, 2021, 57(19): 129-134.
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[6] |
WEI Dingfeng, LI Liang, CHAI Jing.
Social Recommendation Algorithm by Fusing Item Information
[J]. Computer Engineering and Applications, 2021, 57(19): 198-204.
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[7] |
WANG Yong,ZHAO Xuhui,LI Xiaoguang,XIAO Ling.
Fast Nearest-Neighbor Searching Method for Collaborative Filtering
[J]. Computer Engineering and Applications, 2021, 57(17): 96-105.
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[8] |
GU Junhua, CHEN Bo, WANG Rui, ZHANG Suqi.
Social Recommendation Combined with Important Nodes Trust Propagation
[J]. Computer Engineering and Applications, 2021, 57(17): 190-195.
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[9] |
LU Xiangzhi, SUN Fuzhen, WANG Shaoqing, XU Shangshang.
Context-Aware Recommendation Algorithm Fused with User Session Data
[J]. Computer Engineering and Applications, 2021, 57(15): 118-123.
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[10] |
ZHENG Cheng, WANG Jian.
Collaborative Filtering Recommendation for Joint Attention and Autoencoder
[J]. Computer Engineering and Applications, 2021, 57(10): 139-145.
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[11] |
LU Hang, SHI Zhibin, LIU Zhongbao.
Collaboration Filtering Recommendation Algorithm Based on User Interest and Ratings Difference
[J]. Computer Engineering and Applications, 2020, 56(7): 24-29.
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[12] |
WANG Weihong, ZENG Yingjie.
Collaborative Filtering Recommendation Algorithm Based on Clustering and User Preference
[J]. Computer Engineering and Applications, 2020, 56(3): 68-73.
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[13] |
JI Wenlu, WANG Hailong, SU Guibin, LIU Lin.
Review of Recommendation Methods Based on Association Rules Algorithm
[J]. Computer Engineering and Applications, 2020, 56(22): 33-41.
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[14] |
GU Mingxing, HUANG Weijian, HUANG Yuan, SHENG Long, SHEN Chao, ZHANG Mengtian.
Collaborative Filtering Recommendation Combining Attribute Clustering and Improving User Similarity
[J]. Computer Engineering and Applications, 2020, 56(22): 185-190.
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[15] |
LI Hao, ZHANG Yachuan, KANG Yan, YANG Bing, BU Rongjing, LI Jinyuan.
Fusion Recurrent Knowledge Graph and Collaborative Filtering Movie Recommendation Algorithm
[J]. Computer Engineering and Applications, 2020, 56(2): 106-114.
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