Analyzing the <scp>QoS</scp> prediction for web service recommendation using time series forecasting with deep learning techniques-Reference-Cited by-同舟云学术

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Analyzing the QoS prediction for web service recommendation using time series forecasting with deep learning techniques

Published:2022-10-07 Issue:28 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Gnanasekaran Amirthayogam¹^ORCID,Chinnasamy Anbu Ananth¹,Parasuraman Elango²

Affiliation:

1. Department of Computer Science and Engineering Annamalai University Chidambaram Tamil Nadu India

2. Department of Information Technology Perunthalaivar Kamarajar Institute of Engineering and Technology Karaikal Puducherry India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7356

Reference42 articles.

1. Deep hybrid collaborative filtering for Web service recommendation

2. QoS prediction for service recommendations in mobile edge computing

3. Web service QoS prediction using improved software source code metrics

4. An Econometric Time Series Forecasting Framework for Web Services Recommendation

5. A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side

Cited by 1 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. TAQ-GRNN: A Topology-Aware QoS Prediction Model Based on Gated Recurrent Neural Networks;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

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