搜索recommender system共有 22 个结果
1
node2vec-side fusion knowledge representation for personalized recommendation
2024年第2期 : 361-367,374
doi:10.19734/j.issn.1001-3695.2023.06.0257
2
Multi-behavior multi-task recommendation algorithm integrating self-supervised learning enhancement
2023年第9期 : 2688-2693
doi:10.19734/j.issn.1001-3695.2023.02.0030
3
Graph contrastive learning recommendation algorithm based on mixed sampling
2023年第5期 : 1346-1351
doi:10.19734/j.issn.1001-3695.2022.10.0533
4
Hybrid recommendation algorithm for removing popularity bias based on feature embedding
2022年第11期 : 3275-3280
doi:10.19734/j.issn.1001-3695.2022.04.0193
5
Recommendation model combining enhanced collaborative information and knowledge graph information
2022年第6期 : 1742-1748
doi:10.19734/j.issn.1001-3695.2021.10.0606
6
Multi-behavior recommendation model based on light graph convolution and enhanced attention
2022年第6期 : 1753-1759
doi:10.19734/j.issn.1001-3695.2021.11.0638
7
Multi-layer combination multi-order explicit interaction fusion recommendation model
2022年第5期 : 1349-1356
doi:10.19734/j.issn.1001-3695.2021.10.0447
8
Item recommendation algorithm based on GNN and deep learning
2021年第12期 : 3617-3622
doi:10.19734/j.issn.1001-3695.2021.05.0183
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
Research on forgetting function-based mean Bayesian personalized ranking algorithm
2021年第5期 : 1350-1354,1370
doi:10.19734/j.issn.1001-3695.2020.07.0182
11
Attentive collaborative side variational recommender algorithm
2020年第11期 : 3250-3254
doi:10.19734/j.issn.1001-3695.2019.08.0283
12
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
13
Recommendation supplemental network of neighbor reviews
2020年第10期 : 2956-2960
doi:10.19734/j.issn.1001-3695.2019.05.0191
14
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
15
Representation for implicit feedback recommender
2020年第8期 : 2266-2272
doi:10.19734/j.issn.1001-3695.2019.02.0063
16
Binomial matrix factorization with rating drift for recommender systems
2020年第5期 : 1303-1305,1316
doi:10.19734/j.issn.1001-3695.2018.10.0807
17
XGBoost recommendation algorithm with collaborative filtering
2020年第5期 : 1317-1320
doi:10.19734/j.issn.1001-3695.2018.10.0808
18
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
19
Multiple factors based personalized learning recommendation system
2020年第1期 : 183-187
doi:10.19734/j.issn.1001-3695.2018.07.0471
20
Successive point-of-interest recommendation with spatial-temporal influence in LBSN
2019年第12期 : 3574-3578
doi:10.19734/j.issn.1001-3695.2018.07.0434
21
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
22
Shilling-attack-tolerant recommendation algorithm based on attribute facilitated matrix completion
2019年第3期 : 724-729,780
doi:10.19734/j.issn.1001-3695.2017.09.0906