Search推荐系统returned 71 results

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1

Evolution of privacy protection in recommendation systems: technical advancements, evaluation frameworks, and synergistic development of privacy and utility

推荐系统中的隐私保护：技术演进、评估框架与隐私效用协同发展

Wang Bin

Wang Chang

Lyu Linghui

Liu Yutao

Zhang Lei

privacy protection

recommender system

differential privacy

encryption technology

federated learning

k-anonymity

Accepted Paper No. 12, 2025 : doi:10.19734/j.issn.1001-3695.2025.04.0135

2

Graph contrastive learning recommendation algorithm based on gradient-aware graph augmentation

基于梯度感知图增强的图对比学习推荐算法

Hu Jichao

Hu Xiyao

Li Huanzhe

recommender system

graph contrastive learning

graph augmentations

gradient awareness

hard negative samples

Accepted Paper No. 12, 2025 : doi:10.19734/j.issn.1001-3695.2025.05.0172

3

Review of medication recommendation method based on knowledge graph

基于知识图谱的药物推荐方法研究综述

Peng Lin

Wang Yu

Ye Qing

Cheng Chunlei

He Jia

knowledge graph

recommendation system

medication recommendation

Accepted Paper No. 11, 2025 : doi:10.19734/j.issn.1001-3695.2025.03.0094

4

Graph diffusion-augmented based contrastive learning framework for recommendation systems

基于图扩散增强的对比学习推荐系统框架

Tang Jiapu

Li Man

Cao Wenming

Yang Mingming

Jiang Mingyang

recommendation system

contrastive learning

data augmentation

gating mechanism

Accepted Paper No. 11, 2025 : doi:10.19734/j.issn.1001-3695.2025.05.0125

5

Multimodal long-tail micro-video recommendation based on graph neural networks

基于图神经网络的多模态长尾微视频推荐算法

Luo Chen

You Jinguo

Wan Xiaorong

Li Xiaowu

multimodal recommendation

long tail problem

graph neural network

micro-video

attention mechanism

Accepted Paper No. 10, 2025 : doi:10.19734/j.issn.1001-3695.2025.02.0058

6

Multi-behavior hypergraph neural network model enhanced with contrastive learning

对比学习增强的多行为超图神经网络推荐模型

Wang Guang

Li Jiaxin

recommendation system

multi-behavior recommendation

graph neural network

hypergraph

contrastive lear-ning

self-supervised learning

No. 8, 2025 : 2304-2311 doi:10.19734/j.issn.1001-3695.2024.12.0528

7

Debiased causal recommendation based on graph neural network

基于图神经网络的去偏因果推荐

Xun Yaling

Li Xinyi

Han Shuo

Li Yanfeng

Wang Xing

recommendation system

causal inference

graph neural network

backdoor adjustment

No. 5, 2025 : 1331-1337 doi:10.19734/j.issn.1001-3695.2024.10.0362

8

Debiasing recommendation method integrating transfer learning and disentangled negative sampling

融合迁移学习和解纠缠负采样的去偏推荐方法

Liu Qi

Tang Hong

Yang Liming

recommendation system

debiased recommendation

negative sampling

disentangled representation learning

transfer learning

No. 4, 2025 : 1115-1121 doi:10.19734/j.issn.1001-3695.2024.09.0296

9

Graph convolutional recommendation based on adjacency matrix optimization and negative sampling

基于邻接矩阵优化和负采样的图卷积推荐

Wang Hui

Liang Xingzhu

Zhang Xu

Xia Chenxing

recommendation system

graph convolutional network

collaborative filtering

embedding optimization

No. 12, 2024 : 3628-3633 doi:10.19734/j.issn.1001-3695.2024.04.0126

10

Generative adversarial network recommendation based on reverse extension enhancement

基于反向延长增强的对抗生成网络推荐算法

Zhang Wenlong

Sun Fuzhen

Wu Xiangshuai

Li Pengcheng

Wang Shaoqing

recommendation system

reverse extension enhancement

generative adversarial networks

sequential recommendation

self-attention networks

No. 7, 2024 : 2033-2038 doi:10.19734/j.issn.1001-3695.2023.11.0548

11

node2vec-side fusion knowledge representation for personalized recommendation

面向个性化推荐的node2vec-side融合知识表示

Ni Wenkai

Du Yanhui

Ma Xingbang

Lyu Haibin

knowledge representation

recommender system

link prediction

knowledge graph

No. 2, 2024 : 361-367,374 doi:10.19734/j.issn.1001-3695.2023.06.0257

12

Adaptive graph convolutional recommendation algorithm integrating user social relationships

融合用户社交关系的自适应图卷积推荐算法

Wang Guang

Yin Kai

graph convolutional neural network

attention mechanism

social relationships

recommendation system

No. 2, 2024 : 482-487 doi:10.19734/j.issn.1001-3695.2023.06.0249

13

Session recommendation method based on global graph diffusion and spatio-temporal awareness disentanglement

基于全局图扩散和时空感知的解缠绕会话推荐方法

Gao Rong

Zhou Hao

Shao Xiongkai

Wu Xinyun

recommendation system

deep learning

graph neural network

temporal pattern

user intention

No. 11, 2023 : 3294-3302 doi:10.19734/j.issn.1001-3695.2023.04.0126

14

Collaborative similarity embedding recommendation model incorporating consistent social relationships

融合一致性社交关系的协同相似嵌入推荐模型

Wu Yongqing

Sun Peng

Jin Yao

Ding Zhichen

recommendation system

graph neutral network

social relationship

collaborative embedding

No. 10, 2023 : 2951-2956,2966 doi:10.19734/j.issn.1001-3695.2023.03.0094

15

Recommendation algorithm with rating context and item similarity

融合评分上下文和物品相似度的推荐算法

Lu Zelun

Gu Wanrong

Mao Yijun

Chen Ziming

explicit feedback

recommendation system

rating context

item similarity

sparse linear method

No. 10, 2023 : 3040-3046 doi:10.19734/j.issn.1001-3695.2023.02.0057

16

GAT based heterogeneous graph neural network for social recommendation

基于图注意力的异构图社交推荐网络

Wu Xiangshuai

Sun Fuzhen

Zhang Wenlong

Zhang Zhiwei

Wang Shaoqing

recommendation system

graph attention neural network

social recommendation

influence diffusion

No. 10, 2023 : 3076-3081,3106 doi:10.19734/j.issn.1001-3695.2023.03.0085

17

Multi-behavior multi-task recommendation algorithm integrating self-supervised learning enhancement

联合自监督学习强化的多行为多任务推荐算法

Shen Xueli

Zhang Rongkai

recommender system

multi-behavior recommendation

self-supervised learning

multi-task optimization

No. 9, 2023 : 2688-2693 doi:10.19734/j.issn.1001-3695.2023.02.0030

18

FERSF: fairness-enhanced recommendation system framework guided by stochastic model checking

FERSF:随机模型检验引导的公平性增强推荐系统框架

Wang Chuqin

Liu Yang

recommendation system

popularity bias

fairness

long-tail

DTMC

stochastic model checking

No. 6, 2023 : 1777-1783 doi:10.19734/j.issn.1001-3695.2022.09.0485

19

Hierarchical intent disentangling for graph convolution neural network recommendation model

基于层次意图解耦的图卷积神经网络推荐模型

Wu Tianhui

Sun Fuzhen

Zhang Wenlong

Dong Jiawei

Wang Shaoqing

recommendation system

graph convolution neural network

hierarchical intent recommendation

collaborative filtering

disentangled representation learning

No. 5, 2023 : 1341-1345,1351 doi:10.19734/j.issn.1001-3695.2022.10.0543

20

Graph contrastive learning recommendation algorithm based on mixed sampling

基于混合采样的图对比学习推荐算法

Yuan Congqi

Liu Yuan

Liu Jingwen

graph convolutional network

recommender systems

hard negative samples

graph contrastive learning

No. 5, 2023 : 1346-1351 doi:10.19734/j.issn.1001-3695.2022.10.0533

21

Light relational graph attention recommendation model fusing with profiles and text information

融合画像和文本信息的轻量级关系图注意推荐模型

Liu Chao

Zhu Bo

recommendation system

graph neural network

user profile

text information

No. 4, 2023 : 1037-1043 doi:10.19734/j.issn.1001-3695.2022.08.0428

22

Algorithm of sequential recommendation based on Gaussian distribution modeling

基于高斯分布建模的序列推荐算法

Ou Daoyuan

Liang Jingzhang

Wu Lijuan

recommendation system

sequential recommendation

Gaussian distribution

uncertainty perception

recommendation loss

No. 4, 2023 : 1108-1112 doi:10.19734/j.issn.1001-3695.2022.08.0452

23

User preference network of fusing knowledge-aware and time-aware

融合知识感知和时间感知的用户偏好网络

Wu Yubin

Qi Yunsong

recommendation system

knowledge graph(KG)

temporal context encoding

attention mechanism

No. 3, 2023 : 805-809 doi:10.19734/j.issn.1001-3695.2022.08.0375

24

Item associations aware multi-interest sequential recommendation method

关联项目增强的多兴趣序列推荐方法

Zhang Jie

Chen Kejia

recommendation system

multi-interest framework

item associations

self-attention mechanism

No. 2, 2023 : 456-462 doi:10.19734/j.issn.1001-3695.2022.06.0333

25

Neural graph collaborative filtering based on interaction intent

融合交互意图的图神经网络协同过滤算法

Zhang Xiankun

Qin Fengbin

Sun Yue

Huang Wenjie

Dong Mei

recommendation system

collaborative filtering

interaction intent

graph neural network

No. 2, 2023 : 488-492 doi:10.19734/j.issn.1001-3695.2022.07.0354

26

Capsule-based graph convolutional disentanglement for session-aware recommendation

基于胶囊图卷积的解缠绕会话感知推荐方法

Tao Yuhe

Gao Rong

Shao Xiongkai

Wu Xinyun

Li Jing

recommendation system

deep learning

graph convolutional network

attention mechanism

capsule network

user intention

No. 1, 2023 : 122-128 doi:10.19734/j.issn.1001-3695.2022.05.0283

27

Two-channel collaborative filtering recommendation algorithm based on graph convolution

基于图卷积的双通道协同过滤推荐算法

Fu Junyu

Zhu Xiaodong

Chen Chen

knowledge graphs

recommendation system

collaborative filtering

cold start

No. 1, 2023 : 129-135 doi:10.19734/j.issn.1001-3695.2022.06.0282

28

Recommendation systems based on attention mechanism and meta-paths of heterogeneous information network

基于注意力机制和异质信息网络元路径的推荐系统

Jiang Zhenghe

Chen Xuegang

heterogeneous information network

meta path

attentional mechanism

recommendation algorithm

No. 12, 2022 : 3587-3591,3597 doi:10.19734/j.issn.1001-3695.2022.05.0248

29

Hybrid recommendation algorithm for removing popularity bias based on feature embedding

基于特征嵌入的去流行度偏差混合推荐算法

Li Peng

Zhu Xinru

Su Xinjie

BPR algorithm

recommender system

CNN

popularity bias

No. 11, 2022 : 3275-3280 doi:10.19734/j.issn.1001-3695.2022.04.0193

30

Review of recommendation methods for problem of bias

面向偏差问题的推荐方法研究综述

Guo Nan

Huang Huihui

recommendation system

bias

debias

causality

correlation

No. 10, 2022 : 2881-2890,2915 doi:10.19734/j.issn.1001-3695.2022.02.0092

31

Knowledge-aware propagation recommendation algorithm based on user’s potential interest

基于用户潜在兴趣的知识感知传播推荐算法

Zhang Bo

Zhao Peng

Zhang Jinjin

Zeng Zhaoju

Xiao Xuhao

recommended systems

knowledge graph

attention mechanisms

heterogeneous propagation

No. 9, 2022 : 2615-2620 doi:10.19734/j.issn.1001-3695.2022.03.0067

32

Implicit deep collaborative recommendation model based on propositional logic and neural network

融合命题逻辑与神经网络的隐式深度协同推荐模型

Chen Bang

Wu Maonian

Zhu Shaojun

Zheng Bo

Peng Wei

recommendation system

collaborative filtering

neural network

cognitive reasoning

No. 9, 2022 : 2689-2694 doi:10.19734/j.issn.1001-3695.2022.02.0064

33

Cross-domain recommendation under graph generation process

基于图生成过程的跨领域推荐

Cai Ruichu

Wu Fengzhu

Li Zijian

disentanglement

graph neural networks

domain adaptation

recommendation system

causal generation process

No. 8, 2022 : 2333-2339 doi:10.19734/j.issn.1001-3695.2022.01.0015

34

Graph attention network based participant recommendation for issue resolution in open source community

基于图注意力网络的开源社区问题解决参与者推荐

Zhao Haiyan

Xia Wenzong

Cao Jian

Chen Qingkui

recommendation system

issue tracking

graph attention network

participant recommendation

comment network

No. 8, 2022 : 2352-2356,2380 doi:10.19734/j.issn.1001-3695.2022.01.0028

35

Sparse matrix interpolation recommendation technology combined with scoring habit weighting

结合评分习惯加权的稀疏矩阵插值推荐技术

Wen Zuocheng

Shen Shaopeng

Zhou Xiangbing

Lan Haojie

Zhang Zhiheng

imputation estimate

SVD

recommendation system

sparsity

No. 7, 2022 : 2058-2062 doi:10.19734/j.issn.1001-3695.2021.11.0648

36

Recommendation model combining enhanced collaborative information and knowledge graph information

融合增强协同信息和知识图谱信息的推荐模型

Tao Jia

Huang Xianying

Gao Yulan

recommender systems(RS)

knowledge graph

collaboration information

attention mechanism

No. 6, 2022 : 1742-1748 doi:10.19734/j.issn.1001-3695.2021.10.0606

37

Multi-behavior recommendation model based on light graph convolution and enhanced attention

基于轻量图卷积和注意力增强的多行为推荐模型

Gao Yulan

Huang Xianying

Tao Jia

recommender system

graph convolutional network

attention mechanism

multi-behavior

No. 6, 2022 : 1753-1759 doi:10.19734/j.issn.1001-3695.2021.11.0638

38

Collaborative filtering recommendation algorithm based on adaptive neural graph convolution attention neural network

基于自适应图卷积注意力神经协同推荐算法

Du Yuxuan

Wang Wei

Zhang Chuang

Zheng Xiaoli

Su Jiatao

Wang Yangyang

recommendation system

adaptive

graph convolution neural network

attention mechanism

collaborative filtering

No. 6, 2022 : 1760-1766 doi:10.19734/j.issn.1001-3695.2021.11.0631

39

Multi-layer combination multi-order explicit interaction fusion recommendation model

多层结合的多阶显式交互的融合推荐模型

Sun Weizhi

Ou Ou

Du Xuelei

Luo Kaiyao

recommender systems

click-through rate

explicit interaction

No. 5, 2022 : 1349-1356 doi:10.19734/j.issn.1001-3695.2021.10.0447

40

Recommendation method based on dynamic bipartite network representation learning

基于动态二分网络表示学习的推荐方法

Zhang Yangyang

Chen Kejia

Zhang Jie

recommendation system

dynamic network

bipartite network

graph convolution

No. 4, 2022 : 1024-1029 doi:10.19734/j.issn.1001-3695.2021.09.0409

41

Construction of person-post matching recommended system based on knowledge graph

基于知识图谱的人岗推荐系统构建

Xu Mengqi

Xiong Xi

Li Binyong

Li Zhongzhi

knowledge graph

recommended system

person-post matching recommended

knowledge graph completion

No. 1, 2022 : 194-198 doi:10.19734/j.issn.1001-3695.2021.06.0228

42

Collaborative filtering recommendation algorithm based on knowledge graph embedding

基于知识图嵌入的协同过滤推荐算法

Zhang Yihan

Wang Wei

Liu Huazhen

Gu Renqian

Hao Yaqi

recommendation system

collaborative filtering

knowledge graph embedding

joint learning

No. 12, 2021 : 3590-3596 doi:10.19734/j.issn.1001-3695.2021.05.0181

43

Item recommendation algorithm based on GNN and deep learning

基于图神经网络与深度学习的商品推荐算法

Feng Xingjie

Sheng Xiaoyu

recommender system

GNN

deep learning

attention mechanism

No. 12, 2021 : 3617-3622 doi:10.19734/j.issn.1001-3695.2021.05.0183

44

Collaborative filtering recommendation algorithm based on single-valued neutrosophic set

基于单值中智集的协同过滤推荐算法

Li Peng

Su Xinjie

Bai Shizhen

collaborative filtering

single-valued neutrosophic set

fuzzy evaluation

similarity

recommender system

No. 12, 2021 : 3667-3672 doi:10.19734/j.issn.1001-3695.2021.06.0199

45

Collaborative filtering recommendation model based on graph convolution and cross product

基于图卷积与外积的协同过滤推荐模型

Su Jing

Xu Tianqi

Zhang Xiankun

Shi Yancui

Gu Shuting

recommended system

collaborative filtering

graph neural network(GNN)

convolutional neural network(CNN)

matrix factorization

No. 10, 2021 : 3044-3048 doi:10.19734/j.issn.1001-3695.2021.02.0053

46

Collaborative filtering recommendation algorithm based on mixed similarity and differential privacy

基于混合相似度和差分隐私的协同过滤推荐算法

Zhang Runlian

Zhang Rui

Wu Xiaonian

Liu Wenfen

recommendation system

privacy protect

collaborative filtering

differential privacy

mixed similarity

No. 8, 2021 : 2334-2339 doi:10.19734/j.issn.1001-3695.2020.12.0542

47

Recommendation algorithm via fusing matrix completion and deep matrix factorization

融合矩阵补全与深度矩阵分解的推荐算法

Shi Jiarong

Li Jinhong

recommendation system

deep matrix factorization

matrix completion

matrix factorization

deep learning

No. 8, 2021 : 2376-2380 doi:10.19734/j.issn.1001-3695.2020.11.0374

48

Research on forgetting function-based mean Bayesian personalized ranking algorithm

基于遗忘函数的均值贝叶斯个性化排序算法研究

Shen Yanmei

Jiang Bingqian

Ao Shan

Liu Zhizhong

Bayesian personalized ranking algorithm

recommender system

robustness

forgetting function

No. 5, 2021 : 1350-1354,1370 doi:10.19734/j.issn.1001-3695.2020.07.0182

49

Attentive collaborative side variational recommender algorithm

注意力协同辅助变分推荐算法

Kang Yan

Wang Peiyao

Li Hao

Li Jinyuan

Yang Qiyue

Cui Guorong

recommender system

attention mechanism

side information

variational autoencoder

No. 11, 2020 : 3250-3254 doi:10.19734/j.issn.1001-3695.2019.08.0283

50

Collaborative filtering approach combined with rating overlap

一种结合评分重合度的协同推荐算法

Ren Lei

recommender system

collaborative filtering

rating overlay

item-based similarity

No. 10, 2020 : 2922-2925,2936 doi:10.19734/j.issn.1001-3695.2019.06.0198