Towards a deep learning approach for social web services discovery

Abstract

When it comes to web services, the most obvious issue is always determining the best approach to allow clients to discover the most relevant services for a possible demand. Several approaches have been proposed in this regard, but the majority of them ignore the interaction history of web services. The purpose of this research is to study a new approach that takes into account and exploits these previous interactions in order to implement a solution from the Ξeld of Deep Learning that allows for a better discovery web services.