搜索recommendation system共有 38 个结果
1
Generative adversarial network recommendation based on reverse extension enhancement
Accepted Paper
2024年第7期 :
doi:10.19734/j.issn.1001-3695.2023.11.0548
2
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
3
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
4
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
5
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
6
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
7
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
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
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
16
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
17
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
18
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
19
Cross-domain recommendation under graph generation process
2022年第8期 : 2333-2339
doi:10.19734/j.issn.1001-3695.2022.01.0015
20
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
21
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
22
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
23
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
24
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
25
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
26
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
27
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
28
Research on novelty problems in recommendation systems
2020年第8期 : 2310-2314
doi:10.19734/j.issn.1001-3695.2019.03.0046
29
Efficient privacy blockchain cognitive IoT framework
2020年第8期 : 2442-2445
doi:10.19734/j.issn.1001-3695.2019.03.0039
30
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
31
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
32
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
33
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
34
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
35
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
36
Multiple factors based personalized learning recommendation system
2020年第1期 : 183-187
doi:10.19734/j.issn.1001-3695.2018.07.0471
37
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
38
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