An Enhanced Web Service Recommendation System with Ranking QoS Information
S. Suria, K. Palanivel · 2015
services are software components designed to support interoperable machine-to-machine interaction over a network. The adoption of web services as a delivery mode in business has fostered a new paradigm shift from the development of monolithic applications to the dynamic setup of business process. Service users are not knowledgement about all the different types of web services. Hence, Web Service Recommender System (WSRS) is needed to provide quality of service to the users. These web service recommendation systems use collaborative filtering algorithm to deliver the most relevant data for the given queries. In this paper, we include investigating the correlation between different QoS properties, and detecting malicious users with inaccurate QoS information. Service-oriented computing (SOC) enables organizations and individual users to discover openly- accessible capabilities realized as services over the Internet. We also introduce a web service recommender system that proactively discovers and manages web services. This paper focuses on the underlying search and ranking algorithms that enable the recommendations. This can be employed effectively by the service users for better web service selection. Our proposed techniques are effective and efficient when compared to the previous approaches through our experimental and simulation analysis.