Mar 13, 2019 · This paper proposes a collaborative filtering approach to predict the QoS of mobile services based on factorization machines.

This paper proposes a collaborative filtering approach to predict the QoS of mobile services based on factorization machines that revamps the classic ...

Illustration of the revamped FM model. A Factorization Machine-Based QoS Prediction Approach for Mobile Service Selection. Article. Full-text available. Mar ...

Recent years have witnessed a great development in deep learning for service QoS prediction, Factorization Machine(FM) [18, 19] and multi-layer perceptron(MLP) ...

In this research, a novel Graph-based Matrix Factorization approach(GMF) is proposed for QoS prediction. First, a concept of integrated-graph is put forward to ...

We propose a context-aware feature interaction modeling (CFM) approach for IoT services to perform QoS prediction, considering context as an additional feature.

This paper focuses on the cold-start problem for service recommendation based on location of users and services, and proposes a service recommendation ...

This work answers this question by proposing a deep-learning model for service QoS prediction. In this model, a feature mapping and inference network is first ...

Feb 4, 2023 · In this paper, we propose a quality of service(QoS) prediction approach based on feature learning, the contextual information represented as the explicit ...

May 1, 2022 · This paper proposes a temporal regularized tensor factorization method based on hybrid CF for QoS prediction of mobile services.