Predicting QoS for Web Service Recommendations Based on Reputation and Location Clustering with Collaborative Filtering-Reference-Cited by-同舟云学术

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Predicting QoS for Web Service Recommendations Based on Reputation and Location Clustering with Collaborative Filtering

Published:2021-08-25 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)
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Author:

Abdullah Muayad N.,Bhaya Wesam S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9677615/9677570/09677842.pdf?arnumber=9677842

Reference23 articles.

1. Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation

2. Personalized QoS Prediction forWeb Services via Collaborative Filtering

3. Location-aware collaborative filtering for QoS-based service recommendation;tang;2012 IEEE 19th International Conference on Web Services,0

4. Exploiting Web service geographical neighborhood for collaborative QoS prediction

Cited by 2 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. A Hybrid Model for QoS Prediction based on Improved Conditional Variational Autoencoder;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12

2. A Multi-stack Denoising Autoencoder for QoS Prediction;Lecture Notes in Computer Science;2022

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