Competitive recommendation algorithm for E-commerce. - Umutoni Nadine; Huiying Cao; Jiangzhou Deng (ICNC-FSKD, 2016)

A hybrid user similarity model for collaborative filtering. - Yong Wang 009; Jiangzhou Deng; Jerry Gao 002; Pu Zhang (Inf. Sci., 2017)

An intuitionistic fuzzy set based hybrid similarity model for recommender system. - Junpeng Guo; Jiangzhou Deng; Yong Wang 009 (Expert Syst. Appl., 2019)

A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. - Jiangzhou Deng; Yong Wang 009; Junpeng Guo; Yongheng Deng; Jerry Gao 002; Younghee Park (J. Inf. Sci., 2019)

融合Jensen-Shannon散度的推荐算法 (Recommendation Algorithm Based on Jensen-Shannon Divergence). - Yong Wang; Yongdong Wang; Jiangzhou Deng; Pu Zhang (计算机科学, 2019)

A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering. - Jiangzhou Deng; Junpeng Guo; Yong Wang 009 (Knowl. Based Syst., 2019)

An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering. - Junpeng Guo; Jiangzhou Deng; Xun Ran; Yong Wang 009; Hang Jin (Expert Syst. Appl., 2021)

Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system. - Wenhua Li; Xiaoguang Li; Jiangzhou Deng; Yong Wang 009; Junpeng Guo (Expert Syst. Appl., 2021)

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources. - Jiangzhou Deng; Xun Ran; Yong Wang 009; Leo Yu Zhang; Junpeng Guo (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Providing prediction reliability through deep neural networks for recommender systems. - Jiangzhou Deng; Hongtao Li; Junpeng Guo; Leo Yu Zhang; Yong Wang 009 (Comput. Ind. Eng., 2023)

A novel fuzzy neural collaborative filtering for recommender systems. - Jiangzhou Deng; Junyu Chen; Songli Wang; Jianmei Ye; Yong Wang 009 (Expert Syst. Appl., 2024)

Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback. - Hanyang Liu; Yong Wang 009; Zhiqiang Zhang; Jiangzhou Deng; Chao Chen 015; Leo Yu Zhang (Inf. Process. Manag., 2024)

A novel joint neural collaborative filtering incorporating rating reliability. - Jiangzhou Deng; Qi Wu; Songli Wang; Jianmei Ye; Pengcheng Wang; Maokang Du (Inf. Sci., 2024)

DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments. - Jiangzhou Deng; Songli Wang; Jianmei Ye; Lianghao Ji; Yong Wang 009 (Pattern Recognit., 2024)

A novel noise reduction and interaction enrichment recommendation model via contrastive learning. - Zhiqiang Zhang; Qi Wu; Jiangzhou Deng; Jianmei Ye; Fang Yang; Yong Wang; Kobiljon Kh. Khushvakhtzoda (Neurocomputing, 2025)

Differentially private recommendation algorithm based on diffusion model and Rényi similarity. - Yongdong Wang; Yong Wang 009; Zhiqiang Zhang; Jiangzhou Deng; Jianmei Ye; Leo Yu Zhang (Inf. Sci., 2025)

Dual-disentangle Framework for Diversified Sequential Recommendation. - Haoran Zhang; Jingtong Liu; Jiangzhou Deng; Junpeng Guo (CoRR, 2025)

A simple yet effective enhanced collaborative filtering framework for mitigating noise and data sparsity: evidence from pervasive digital platform datasets. - Jiangzhou Deng; Lei Zheng; Zhiqiang Zhang; Jianmei Ye; Yong Wang (J. Supercomput., 2025)