In this paper, a Multi-stack Denoising Autoencoder (MSDAE) model is proposed to predict QoS. Firstly, the location information and the improved Jaccard similarity coefficient are used to obtain the trusted similar neighbors of users and services.
Sep 7, 2022
Sep 6, 2022 · In this paper, a Multi-stack Denoising Autoencoder (MSDAE) model is proposed to predict QoS. Firstly, the location information and the improved ...
In the era of network information overload, personalized service recommendation is paid more and more attention by researchers, and Quality of Service (QoS) ...
In the version of this paper that was originally published the affiliation of the authors was incorrect. This has now been corrected.
People also ask
What are stacked denoising autoencoders?
What is the difference between autoencoder and denoising autoencoder?
What is denoising autoencoder for image denoising?
In the version of this paper that was originally published the affiliation of the authors was incorrect. This has now been corrected.
Mengwei Wu , Qin Lu , Yingxue Wang : A Multi-stack Denoising Autoencoder for QoS Prediction. ICANN (2) 2022: 757-768.
Apr 6, 2018 · I trained a stacked denoising autoencoder with keras. Every thing was fine until it comes to predict new samples. The samples for prediction are named 'active' ...
Missing: Multi- QoS
Abstract—In service-oriented architectures, collaborative fil- tering is a key technique for service recommendation based on. QoS prediction.
Autoencoders for QoS Prediction at the Edge - ResearchGate
www.researchgate.net › publication › 33...
Jan 8, 2019 · In this paper we propose a stacked autoencoder with dropout on a deep edge architecture and show how this can be used to reduce training and ...
variant denoising autoencoder) for QoS prediction Web ser- vices. 6 Conclusion. QoS is a key factor for building successful service-oriented applications ...