Jiangzhou Deng

According to our database, Jiangzhou Deng authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Pattern Recognit., 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

Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback.

Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Chao Chen, Leo Yu Zhang

Inf. Process. Manag., 2024

A novel fuzzy neural collaborative filtering for recommender systems.

Jiangzhou Deng, Junyu Chen, Songli Wang, Jianmei Ye, Yong Wang

Expert Syst. Appl., 2024

2023

Providing prediction reliability through deep neural networks for recommender systems.

Jiangzhou Deng, Hongtao Li, Junpeng Guo, Leo Yu Zhang, Yong Wang

Comput. Ind. Eng., November, 2023

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources.

Jiangzhou Deng, Xun Ran, Yong Wang, Leo Yu Zhang, Junpeng Guo

IEEE Trans. Syst. Man Cybern. Syst., October, 2023

2021

Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system.

Wenhua Li, Xiaoguang Li, Jiangzhou Deng, Yong Wang, Junpeng Guo

Expert Syst. Appl., 2021

An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering.

Junpeng Guo, Jiangzhou Deng, Xun Ran, Yong Wang, Hang Jin

Expert Syst. Appl., 2021

2019

A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering.

Jiangzhou Deng, Junpeng Guo, Yong Wang

Knowl. Based Syst., 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 similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data.

Jiangzhou Deng, Yong Wang, Junpeng Guo, Yongheng Deng, Jerry Gao, Younghee Park

J. Inf. Sci., 2019

An intuitionistic fuzzy set based hybrid similarity model for recommender system.

Junpeng Guo, Jiangzhou Deng, Yong Wang

Expert Syst. Appl., 2019

2017

A hybrid user similarity model for collaborative filtering.

Yong Wang, Jiangzhou Deng, Jerry Gao, Pu Zhang

Inf. Sci., 2017

2016

Competitive recommendation algorithm for E-commerce.

Umutoni Nadine, Huiying Cao, Jiangzhou Deng

Proceedings of the 12th International Conference on Natural Computation, 2016