Jiangzhou Deng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Collaborative Filtering

Multiple Information Sources

Matrix Factorization

Implicit Feedback

Top Venues

Expert Syst. Appl.

Pattern Recognit.

Inf. Process. Manag.

Publications

Jiangzhou Deng, Junyu Chen, Songli Wang, Jianmei Ye, Yong Wang
A novel fuzzy neural collaborative filtering for recommender systems. Expert Syst. Appl. 258 (2024)
Jiangzhou Deng, Qi Wu, Songli Wang, Jianmei Ye, Pengcheng Wang, Maokang Du
A novel joint neural collaborative filtering incorporating rating reliability. Inf. Sci. 665 (2024)
Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Chao Chen, Leo Yu Zhang
Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback. Inf. Process. Manag. 61 (4) (2024)
Jiangzhou Deng, Songli Wang, Jianmei Ye, Lianghao Ji, Yong Wang
DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments. Pattern Recognit. 155 (2024)
Jiangzhou Deng, Xun Ran, Yong Wang, Leo Yu Zhang, Junpeng Guo
Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Jiangzhou Deng, Hongtao Li, Junpeng Guo, Leo Yu Zhang, Yong Wang
Providing prediction reliability through deep neural networks for recommender systems. Comput. Ind. Eng. 185 (2023)
Junpeng Guo, Jiangzhou Deng, Xun Ran, Yong Wang, Hang Jin
An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering. Expert Syst. Appl. 164 (2021)
Wenhua Li, Xiaoguang Li, Jiangzhou Deng, Yong Wang, Junpeng Guo
Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system. Expert Syst. Appl. 179 (2021)
Yong Wang, Yongdong Wang, Jiangzhou Deng, Pu Zhang
融合Jensen-Shannon散度的推荐算法 (Recommendation Algorithm Based on Jensen-Shannon Divergence). 计算机科学 46 (2) (2019)
Jiangzhou Deng, Junpeng Guo, Yong Wang
A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering. Knowl. Based Syst. 175 (2019)
Jiangzhou Deng, Yong Wang, Junpeng Guo, Yongheng Deng, Jerry Gao, Younghee Park
A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. J. Inf. Sci. 45 (5) (2019)
Junpeng Guo, Jiangzhou Deng, Yong Wang
An intuitionistic fuzzy set based hybrid similarity model for recommender system. Expert Syst. Appl. 135 (2019)
Yong Wang, Jiangzhou Deng, Jerry Gao, Pu Zhang
A hybrid user similarity model for collaborative filtering. Inf. Sci. 418 (2017)
Umutoni Nadine, Huiying Cao, Jiangzhou Deng
Competitive recommendation algorithm for E-commerce. ICNC-FSKD (2016)