Solving cold-start problem in large-scale recommendation engines: A deep learning approach-Reference-Cited by-同舟云学术

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Solving cold-start problem in large-scale recommendation engines: A deep learning approach

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Conference on Big Data (Big Data)
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Author:

Yuan Jianbo,Shalaby Walid,Korayem Mohammed,Lin David,AlJadda Khalifeh,Luo Jiebo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7818133/7840573/07840810.pdf?arnumber=7840810

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learner’s intention analysis to mitigate the cold start problem in personalized learning recommendation systems;Multimedia Tools and Applications;2024-07-30

2. Content Recommendation Considering Cache State;2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR);2024-07-22

3. A systematic literature review of solutions for cold start problem;International Journal of System Assurance Engineering and Management;2024-05-14

4. Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data;Scientific Reports;2024-03-19

5. GCN-based Explainable Recommendation using a Knowledge Graph and a Language Model;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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