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ORCIDJiangzhou Deng
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2020 – today
- 2024
[j13]Jiangzhou Deng, Junyu Chen, Songli Wang, Jianmei Ye
, Yong Wang:
A novel fuzzy neural collaborative filtering for recommender systems. Expert Syst. Appl. 258: 125153 (2024)- [j12]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): 103720 (2024) - [j11]Jiangzhou Deng, Qi Wu, Songli Wang, Jianmei Ye, Pengcheng Wang, Maokang Du:
A novel joint neural collaborative filtering incorporating rating reliability. Inf. Sci. 665: 120406 (2024) - [j10]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: 110692 (2024) - 2023
- [j9]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: 109627 (2023) - [j8]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): 6220-6231 (2023) - 2021
- [j7]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: 113756 (2021) - [j6]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: 115105 (2021)
2010 – 2019
- 2019
- [j5]Junpeng Guo, Jiangzhou Deng, Yong Wang:
An intuitionistic fuzzy set based hybrid similarity model for recommender system. Expert Syst. Appl. 135: 153-163 (2019) - [j4]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) - [j3]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): 210-214 (2019) - [j2]Jiangzhou Deng, Junpeng Guo, Yong Wang:
A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering. Knowl. Based Syst. 175: 96-106 (2019) - 2017
- [j1]Yong Wang, Jiangzhou Deng, Jerry Gao, Pu Zhang:
A hybrid user similarity model for collaborative filtering. Inf. Sci. 418: 102-118 (2017) - 2016
- [c1]Umutoni Nadine, Huiying Cao, Jiangzhou Deng:
Competitive recommendation algorithm for E-commerce. ICNC-FSKD 2016: 1539-1542
Coauthor Index
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