An Intelligent Approach for Context-Aware Service Selection using Machine Learning
Tarik Fissaa, Hatim Guermah, Mahmoud El Hamlaoui, Hatim Hafiddi, Mahmoud Nassar · 2018
Service selection is a process to choose the services that best suit user functional and Non-functional Properties (NFP). With the increasing number of available services, users are offered a choice of competitively functional (or even identical) services. Therefore, this choice strongly depends on the NFPs and the user preferences (context) that differentiate between several competitive services. The service selection can be performed automatically and transparently to the user. In this paper, An extension of OWL-S service is proposed to take context information into account during the selection. Afterwards, we presents an intelligent approach for context-aware service selection based on Markov Decision Process, we show how to solve it using reinforcement learning techniques.