Personalized QoS-Aware net Service Recommendation via Exploiting Location and cooperative Filtering

Abstract

A web service could be a package designed to support practical machine-to-machine interaction overa network. Internet services are wide used for building service-oriented applications in each trade and academia in recent years. The amount of in public on the market internet services is steady increasing on the net. However, this proliferation makes it laborious for a user to pick a correct internet service among an outsized quantity of service candidates. AN inappropriate service choice could cause several issues (e.g., ill-suited performance) to the ensuingapplications. This paper, propose a unique cooperative filtering-based internet service recommender system to assistusersselect services with best Quality-of-Service (QoS) performance. Recommender system employs the placementinformation and QoS values to cluster users and services, and makes customized service recommendation for users based on the bunch results. Totally different from previous work, this approach employs the characteristic of QoS andachieves hefty improvement on the advice accuracy.

Keywords— Web service; service recommendation; quality of service (QoS); collaborative filtering; service selection