Attention-Based Neural Network: A Novel Approach for Predicting the Popularity of Online Content-Reference-Cited by-同舟云学术

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Attention-Based Neural Network: A Novel Approach for Predicting the Popularity of Online Content

Published:2019-08 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
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Author:

Nguyen Minh-Tri,Le Duong H.,Nakajima Takuma,Yoshimi Masato,Thoai Nam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8831117/8855328/08855675.pdf?arnumber=8855675

Cited by 7 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. Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks;Ad Hoc Networks;2024-04

2. ViT-Cat: Parallel Vision Transformers With Cross Attention Fusion for Popularity Prediction in MEC Networks;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. A multi-perspective micro-analysis of popularity trend dynamics for user-generated content;Social Network Analysis and Mining;2022-10-05

4. Popularity based content caching of YouTube data in cellular networks;Multimedia Tools and Applications;2022-08-10

5. TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks;ICC 2022 - IEEE International Conference on Communications;2022-05-16

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