搜索recommendation system共有 49 个结果
1
End-to-end learning framework for multi-level diversified recommendation
优先出版
2026年第4期 :
doi:10.19734/j.issn.1001-3695.2025.08.0280
2
Privacy-preserving decentralized recommendation system based on blockchain and federated learning
优先出版
2026年第4期 :
doi:10.19734/j.issn.1001-3695.2025.09.0301
3
Hybrid recommendation algorithm based on LSH clustering and dual-channel AutoEncoder-collaborative filtering
2026年第2期 : 443-451
doi:10.19734/j.issn.1001-3695.2025.06.0180
4
Graph neural network recommendation model integrating dynamic neighborhood selection and multi-interest representation
2026年第1期 : 60-68
doi:10.19734/j.issn.1001-3695.2025.06.0185
5
Evolution of privacy protection in recommendation systems: technical advancements, evaluation frameworks, and synergistic development of privacy and utility
2025年第12期 : 3521-3533
doi:10.19734/j.issn.1001-3695.2025.04.0135
6
Review of medication recommendation methods based on knowledge graph
2025年第11期 : 3225-3235
doi:10.19734/j.issn.1001-3695.2025.03.0094
7
Graph diffusion-augmented based contrastive learning framework for recommendation systems
2025年第11期 : 3265-3274
doi:10.19734/j.issn.1001-3695.2025.05.0125
8
Multi-behavior hypergraph neural network model enhanced with contrastive learning
2025年第8期 : 2304-2311
doi:10.19734/j.issn.1001-3695.2024.12.0528
9
Debiased causal recommendation based on graph neural network
2025年第5期 : 1331-1337
doi:10.19734/j.issn.1001-3695.2024.10.0362
10
Debiasing recommendation method integrating transfer learning and disentangled negative sampling
2025年第4期 : 1115-1121
doi:10.19734/j.issn.1001-3695.2024.09.0296
11
Graph convolutional recommendation based on adjacency matrix optimization and negative sampling
2024年第12期 : 3628-3633
doi:10.19734/j.issn.1001-3695.2024.04.0126
12
Generative adversarial network recommendation based on reverse extension enhancement
2024年第7期 : 2033-2038
doi:10.19734/j.issn.1001-3695.2023.11.0548
13
Adaptive graph convolutional recommendation algorithm integrating user social relationships
2024年第2期 : 482-487
doi:10.19734/j.issn.1001-3695.2023.06.0249
14
Session recommendation method based on global graph diffusion and spatio-temporal awareness disentanglement
2023年第11期 : 3294-3302
doi:10.19734/j.issn.1001-3695.2023.04.0126
15
Collaborative similarity embedding recommendation model incorporating consistent social relationships
2023年第10期 : 2951-2956,2966
doi:10.19734/j.issn.1001-3695.2023.03.0094
16
Recommendation algorithm with rating context and item similarity
2023年第10期 : 3040-3046
doi:10.19734/j.issn.1001-3695.2023.02.0057
17
GAT based heterogeneous graph neural network for social recommendation
2023年第10期 : 3076-3081,3106
doi:10.19734/j.issn.1001-3695.2023.03.0085
18
FERSF: fairness-enhanced recommendation system framework guided by stochastic model checking
2023年第6期 : 1777-1783
doi:10.19734/j.issn.1001-3695.2022.09.0485
19
Hierarchical intent disentangling for graph convolution neural network recommendation model
2023年第5期 : 1341-1345,1351
doi:10.19734/j.issn.1001-3695.2022.10.0543
20
Light relational graph attention recommendation model fusing with profiles and text information
2023年第4期 : 1037-1043
doi:10.19734/j.issn.1001-3695.2022.08.0428
21
Algorithm of sequential recommendation based on Gaussian distribution modeling
2023年第4期 : 1108-1112
doi:10.19734/j.issn.1001-3695.2022.08.0452
22
User preference network of fusing knowledge-aware and time-aware
2023年第3期 : 805-809
doi:10.19734/j.issn.1001-3695.2022.08.0375
23
Item associations aware multi-interest sequential recommendation method
2023年第2期 : 456-462
doi:10.19734/j.issn.1001-3695.2022.06.0333
24
Neural graph collaborative filtering based on interaction intent
2023年第2期 : 488-492
doi:10.19734/j.issn.1001-3695.2022.07.0354
25
Capsule-based graph convolutional disentanglement for session-aware recommendation
2023年第1期 : 122-128
doi:10.19734/j.issn.1001-3695.2022.05.0283
26
Two-channel collaborative filtering recommendation algorithm based on graph convolution
2023年第1期 : 129-135
doi:10.19734/j.issn.1001-3695.2022.06.0282
27
Recommendation systems based on attention mechanism and meta-paths of heterogeneous information network
2022年第12期 : 3587-3591,3597
doi:10.19734/j.issn.1001-3695.2022.05.0248
28
Review of recommendation methods for problem of bias
2022年第10期 : 2881-2890,2915
doi:10.19734/j.issn.1001-3695.2022.02.0092
29
Implicit deep collaborative recommendation model based on propositional logic and neural network
2022年第9期 : 2689-2694
doi:10.19734/j.issn.1001-3695.2022.02.0064
30
Cross-domain recommendation under graph generation process
2022年第8期 : 2333-2339
doi:10.19734/j.issn.1001-3695.2022.01.0015
31
Graph attention network based participant recommendation for issue resolution in open source community
2022年第8期 : 2352-2356,2380
doi:10.19734/j.issn.1001-3695.2022.01.0028
32
Sparse matrix interpolation recommendation technology combined with scoring habit weighting
2022年第7期 : 2058-2062
doi:10.19734/j.issn.1001-3695.2021.11.0648
33
Collaborative filtering recommendation algorithm based on adaptive neural graph convolution attention neural network
2022年第6期 : 1760-1766
doi:10.19734/j.issn.1001-3695.2021.11.0631
34
Recommendation method based on dynamic bipartite network representation learning
2022年第4期 : 1024-1029
doi:10.19734/j.issn.1001-3695.2021.09.0409
35
Collaborative filtering recommendation algorithm based on knowledge graph embedding
2021年第12期 : 3590-3596
doi:10.19734/j.issn.1001-3695.2021.05.0181
36
Collaborative filtering recommendation algorithm based on mixed similarity and differential privacy
2021年第8期 : 2334-2339
doi:10.19734/j.issn.1001-3695.2020.12.0542
37
Recommendation algorithm via fusing matrix completion and deep matrix factorization
2021年第8期 : 2376-2380
doi:10.19734/j.issn.1001-3695.2020.11.0374
38
Collaborative filtering recommendation algorithm based on biased metric factorization and implicit feedback
2020年第8期 : 2288-2291,2296
doi:10.19734/j.issn.1001-3695.2019.02.0038
39
Research on novelty problems in recommendation systems
2020年第8期 : 2310-2314
doi:10.19734/j.issn.1001-3695.2019.03.0046
40
Efficient privacy blockchain cognitive IoT framework
2020年第8期 : 2442-2445
doi:10.19734/j.issn.1001-3695.2019.03.0039
41
Low-rank matrix factorization recommendation model based on double regularization mechanism
2020年第4期 : 977-981,985
doi:10.19734/j.issn.1001-3695.2018.09.0739
42
Recommendation system of big data based on multi-weight projection of bipartite network
2020年第3期 : 712-716
doi:10.19734/j.issn.1001-3695.2018.07.0612
43
Differential privacy matrix factorization recommendation algorithm fusing tag similarity
2020年第3期 : 851-855
doi:10.19734/j.issn.1001-3695.2018.08.0654
44
Fusion of multi-level image features for image-text matching
2020年第3期 : 951-956
doi:10.19734/j.issn.1001-3695.2018.10.0780
45
Matrix factorization recommendation algorithm combing implicit trust and item correlation
2020年第2期 : 401-406
doi:10.19734/j.issn.1001-3695.2018.07.0530
46
Extreme gradient boosting recommendation algorithm with collaborative filtering
2020年第1期 : 62-65
doi:10.19734/j.issn.1001-3695.2018.06.0463
47
Multiple factors based personalized learning recommendation system
2020年第1期 : 183-187
doi:10.19734/j.issn.1001-3695.2018.07.0471
48
Improvement of Slope One algorithm based on association rule policy weighting
2019年第12期 : 3605-3609
doi:10.19734/j.issn.1001-3695.2018.09.0605
49
Social hybrid recommendation algorithm based on comprehensive trust
2019年第12期 : 3610-3613
doi:10.19734/j.issn.1001-3695.2018.03.0372