Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 471-473.doi: 10.11896/jsjkx.200600109
• Big Data & Data Science • Previous Articles Next Articles
HUANG Chao-ran, GAN Yong-shi
CLC Number:
[1] JI Y M,LIKE,LIU S D,et al.Collaborative filtering recommendation algorithm based on interactive data classification[J/OL].The Journal of China Universities of Posts and Telecommunications.[2020-06-16].https://doi.org/10.19682/j.cnki.1005-8885.2020.0024. [2] HU Y T,XIONG F,LU D Y,et al.Movie collaborative filtering with multiplex implicit feedbacks[J].Neurocomputing,2020,398:485-494. [3] WANG Z,JIAN P L,YONG L Z.Muhammad HammadMemon.Bayesian pairwise learning to rank via one-class collaborative filtering[J].Neurocomputing,2019,367:176-187. [4] HAPER F M,KONSTAN J A.TheMovieLens Datasets:History and Context[J].ACM Transactions on Interactive Intelligent System(TiiS),2006,5(4):1-19. [5] DONG L Y,XIU G Y,MA J Q.Collaborative filtering algorithm based on weight adjustment and user preference [J].Journal of Jilin University (Science Edition),2020,58(3):599-604. [6] ZHANG W,CUI Y B,LI J,et al.ollaborative filtering recommendation based on clustering matrix approximation [J].Operations Research and Management,2020,29(4):171-178. [7] DONG Y H,ZHU C Y.Collaborative filtering algorithm based on improved user attribute score [J].Computer Engineering and Design,2020,41(2):425-431. [8] LU H,SHI Z B,LIU Z B.Collaborative filtering recommendation algorithm integrating user interest and rating difference [J].Computer Engineering and Application,2020,56(7):24-29. [9] ZHAO W T,LU X.Collaborative filtering algorithm based onuser characteristics and similar confidence [J].Measurement and Control Technology,2019,38(8):95-98,102. [10] WU S.Research and Application of Recommendation Technology based on regression tree Model [D].Nanjing:Nanjing University,2018. |
[1] | CHENG Zhang-tao, ZHONG Ting, ZHANG Sheng-ming, ZHOU Fan. Survey of Recommender Systems Based on Graph Learning [J]. Computer Science, 2022, 49(9): 1-13. |
[2] | WANG Guan-yu, ZHONG Ting, FENG Yu, ZHOU Fan. Collaborative Filtering Recommendation Method Based on Vector Quantization Coding [J]. Computer Science, 2022, 49(9): 48-54. |
[3] | SUN Xiao-han, ZHANG Li. Collaborative Filtering Recommendation Algorithm Based on Rating Region Subspace [J]. Computer Science, 2022, 49(7): 50-56. |
[4] | CAI Xiao-juan, TAN Wen-an. Improved Collaborative Filtering Algorithm Combining Similarity and Trust [J]. Computer Science, 2022, 49(6A): 238-241. |
[5] | HE Yi-chen, MAO Yi-jun, XIE Xian-fen, GU Wan-rong. Matrix Transformation and Factorization Based on Graph Partitioning by Vertex Separator for Recommendation [J]. Computer Science, 2022, 49(6A): 272-279. |
[6] | GUO Liang, YANG Xing-yao, YU Jiong, HAN Chen, HUANG Zhong-hao. Hybrid Recommender System Based on Attention Mechanisms and Gating Network [J]. Computer Science, 2022, 49(6): 158-164. |
[7] | DONG Xiao-mei, WANG Rui, ZOU Xin-kai. Survey on Privacy Protection Solutions for Recommended Applications [J]. Computer Science, 2021, 48(9): 21-35. |
[8] | ZHAN Wan-jiang, HONG Zhi-lin, FANG Lu-ping, WU Zhe-fu, LYU Yue-hua. Collaborative Filtering Recommendation Algorithm Based on Adversarial Learning [J]. Computer Science, 2021, 48(7): 172-177. |
[9] | SHAO Chao, SONG Shu-mi. Collaborative Filtering Recommendation Algorithm Based on User Preference Under Trust Relationship [J]. Computer Science, 2021, 48(6A): 240-245. |
[10] | WU Jian-xin, ZHANG Zhi-hong. Collaborative Filtering Recommendation Algorithm Based on User Rating and Similarity of Explicit and Implicit Interest [J]. Computer Science, 2021, 48(5): 147-154. |
[11] | XIAO Shi-tao, SHAO Ying-xia, SONG Wei-ping, CUI Bin. Hybrid Score Function for Collaborative Filtering Recommendation [J]. Computer Science, 2021, 48(3): 113-118. |
[12] | HAO Zhi-feng, LIAO Xiang-cai, WEN Wen, CAI Rui-chu. Collaborative Filtering Recommendation Algorithm Based on Multi-context Information [J]. Computer Science, 2021, 48(3): 168-173. |
[13] | HAN Li-feng, CHEN Li. User Cold Start Recommendation Model Integrating User Attributes and Item Popularity [J]. Computer Science, 2021, 48(2): 114-120. |
[14] | LI Kang-lin, GU Tian-long, BIN Chen-zhong. Multi-space Interactive Collaborative Filtering Recommendation [J]. Computer Science, 2021, 48(12): 181-187. |
[15] | ZHU Yu-jie, LIU Hu-chen. Research on Multi-recommendation Fusion Algorithm of Online Shopping Platform [J]. Computer Science, 2021, 48(11A): 232-235. |
|