搜索collaborative filtering共有 55 个结果
搜索结果较多,本次只显示前50个结果。请尝试使用其他搜索词以获得更精确的结果。
1
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
2
Graph convolution collaborative filtering algorithm for discriminating interaction intentions
2023年第4期 : 1059-1064
doi:10.19734/j.issn.1001-3695.2022.09.0458
3
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
4
Collaborative filtering model based on user complex network feature classification
2023年第2期 : 493-497,510
doi:10.19734/j.issn.1001-3695.2022.07.0329
5
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
6
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
7
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
8
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
9
Collaborative filtering recommendation algorithm based on single-valued neutrosophic set
2021年第12期 : 3667-3672
doi:10.19734/j.issn.1001-3695.2021.06.0199
10
Collaborative filtering recommendation algorithm for Web services based on user-space location score cloud model
2021年第10期 : 2981-2987
doi:10.19734/j.issn.1001-3695.2021.02.0040
11
Collaborative filtering recommendation algorithm based on SVDIFC under missing data
2021年第10期 : 2994-2999
doi:10.19734/j.issn.1001-3695.2021.03.0090
12
Collaborative filtering recommendation model based on graph convolution and cross product
2021年第10期 : 3044-3048
doi:10.19734/j.issn.1001-3695.2021.02.0053
13
Deep hybrid recommendation algorithm incorporating attention mechanism
2021年第9期 : 2624-2627,2634
doi:10.19734/j.issn.1001-3695.2021.01.0014
14
Survey of personalized recommendation study based on user browsing behavior
2021年第8期 : 2268-2277
doi:10.19734/j.issn.1001-3695.2020.10.0347
15
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
16
Differential privacy protection algorithm for explicit and implicit feedback based collaborative filtering
2021年第8期 : 2370-2375
doi:10.19734/j.issn.1001-3695.2020.11.0372
17
Collaborative filtering recommendation algorithm based on item fuzzy similarity
2021年第3期 : 696-701
doi:10.19734/j.issn.1001-3695.2020.04.0056
18
Danmaku video recommendation combining collaborative filtering and topic model
2020年第12期 : 3565-3568,3577
doi:10.19734/j.issn.1001-3695.2019.09.0530
19
Collaborative filtering recommendation algorithm based on improved Bhattacharyya coefficient
2020年第12期 : 3569-3571
doi:10.19734/j.issn.1001-3695.2019.08.0521
20
Group recommendation method based on self-attention mechanism
2020年第12期 : 3572-3577
doi:10.19734/j.issn.1001-3695.2019.08.0519
21
Collaborative filtering approach combined with rating overlap
2020年第10期 : 2922-2925,2936
doi:10.19734/j.issn.1001-3695.2019.06.0198
22
Recommendation supplemental network of neighbor reviews
2020年第10期 : 2956-2960
doi:10.19734/j.issn.1001-3695.2019.05.0191
23
Collaborative filtering recommendation algorithm based on MMTD and interest bias coefficient
2020年第9期 : 2600-2603
doi:10.19734/j.issn.1001-3695.2019.05.0108
24
Collaborative filtering recommendation algorithm based on improved Canopy clustering
2020年第9期 : 2615-2619,2639
doi:10.19734/j.issn.1001-3695.2019.04.0137
25
Enhanced bipartite graph recommendation algorithm based on grey correlational analysis by degree of balance and approach
2020年第9期 : 2620-2624
doi:10.19734/j.issn.1001-3695.2019.04.0114
26
Collaborative filtering recommendation algorithm based on multi-attribute dynamic sampling
2020年第9期 : 2640-2644,2683
doi:10.19734/j.issn.1001-3695.2019.04.0124
27
Representation for implicit feedback recommender
2020年第8期 : 2266-2272
doi:10.19734/j.issn.1001-3695.2019.02.0063
28
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
29
Research on learning resource recommendation algorithm based on behavior sequence analysis
2020年第7期 : 1979-1982
doi:10.19734/j.issn.1001-3695.2018.12.0930
30
XGBoost recommendation algorithm with collaborative filtering
2020年第5期 : 1317-1320
doi:10.19734/j.issn.1001-3695.2018.10.0808
31
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
32
Collaborative filtering recommendation algorithm combined with item popularity weighting
2020年第3期 : 676-679
doi:10.19734/j.issn.1001-3695.2018.08.0618
33
Collaborative filtering algorithm combined with score scale factor and item attribute
2020年第3期 : 680-683
doi:10.19734/j.issn.1001-3695.2018.08.0627
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
Improved extraction method of information core in collaborative filtering recommendation
2020年第1期 : 140-143
doi:10.19734/j.issn.1001-3695.2018.05.0450
37
Collaborative filtering group recommendation based on information entropy and user behavior consistency
2019年第12期 : 3601-3604
doi:10.19734/j.issn.1001-3695.2018.05.0391
38
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
39
Relevance dynamic weighted collaborative filtering recommendation
2019年第11期 : 3230-3232,3249
doi:10.19734/j.issn.1001-3695.2018.05.0306
40
Recommendation algorithm combining item deviation and user preference
2019年第11期 : 3233-3236,3273
doi:10.19734/j.issn.1001-3695.2018.05.0298
41
Prediction of user page interest based on improved collaborative filtering algorithm
2019年第11期 : 3266-3268
doi:10.19734/j.issn.1001-3695.2018.04.0282
42
Matrix factorization recommendation model based on side information
2019年第10期 : 2900-2906
doi:10.19734/j.issn.1001-3695.2018.03.0206
43
Parallel collaborative filtering recommendation algorithm based on social networks and key users
2019年第10期 : 2938-2942
doi:10.19734/j.issn.1001-3695.2018.04.0245
44
Collaborative filtering recommendation algorithm combined with user interest degree clustering
2019年第9期 : 2609-2612,2617
doi:10.19734/j.issn.1001-3695.2018.03.0149
45
Study on recommendation quality evaluation based on empirical distribution and KL divergence
2019年第9期 : 2625-2630
doi:10.19734/j.issn.1001-3695.2018.02.0144
46
Collaborative filtering recommendation algorithm based on label classification
2019年第8期 : 2294-2296,2310
doi:10.19734/j.issn.1001-3695.2018.01.0065
47
Research on solving new item cold-start problem by combining image similarity
2019年第8期 : 2378-2382
doi:10.19734/j.issn.1001-3695.2018.01.0117
48
Study of recommended algorithm integrating social behavior and labeling behavior
2019年第7期 : 1965-1969
doi:10.19734/j.issn.1001-3695.2018.01.0038
49
Academic paper recommendation based on distributed graph
2019年第6期 : 1629-1632,1642
doi:10.19734/j.issn.1001-3695.2018.01.0003
50
Collaborative filtering algorithm combining filling and improving similarity
2019年第6期 : 1643-1645,1651
doi:10.19734/j.issn.1001-3695.2017.12.0813
搜索结果较多,本次只显示前50个结果。请尝试使用其他搜索词以获得更精确的结果。