A Deep Neural Collaborative Filtering Based Service Recommendation Method with Multi-Source Data for Smart Cloud-Edge Collaboration Applications-Reference-Cited by-同舟云学术

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A Deep Neural Collaborative Filtering Based Service Recommendation Method with Multi-Source Data for Smart Cloud-Edge Collaboration Applications

Published:2024-06 Issue:3 Volume:29 Page:897-910
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Lin Wenmin¹,Zhu Min²,Zhou Xinyi¹,Zhang Ruowei³,Zhao Xiaoran³,Shen Shigen⁴,Sun Lu¹

Affiliation:

1. Alibaba Business School, Hangzhou Normal University,Hangzhou,China,311121

2. Weifang University of Science and Technology,Blockchain Laboratory of Agricultural Vegetables,Shouguang,China,262700

3. School of Computer Science, Qufu Normal University,Rizhao,China,276827

4. School of Information Engineering, Huzhou University,Huzhou,China,313000

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/10339721/10339813.pdf?arnumber=10339813

Reference37 articles.

1. Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT

2. Data-Driven Web APIs Recommendation for Building Web Applications

3. Robust Collaborative Filtering Recommendation With User-Item-Trust Records

4. An attention‐based category‐aware GRU model for the next POI recommendation

5. Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things

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1. Privacy-preserving offloading scheme in multi-access mobile edge computing based on MADRL;Journal of Parallel and Distributed Computing;2024-01

2. Traffic Image Analysis Based on Stacked Denoising Autoencoder Neural Network;Journal of Innovation Information Technology and Application (JINITA);2023-12-29

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