CSRecommender: A Cloud Service Searching and Recommendation System

John Wheal, Yanyan Yang^*

School of Engineering, University of Portsmouth, Portsmouth, UK.

DOI: 10.4236/jcc.2015.36007                

Abstract

Cloud Computing and in particular cloud services have become widely used in both the technology and business industries. Despite this significant use, very little research or commercial solutions exist that focus on the discovery of cloud services. This paper introduces CSRecommender—a search engine and recommender system specifically designed for the discovery of these services. To engineer the system to scale, we also describe the implementation of a Cloud Service Identifier which enables the system to crawl the Internet without human involvement. Finally, we examine the effectiveness and usefulness of the system using real-world use cases and users.

Keywords

Cloud Computing, Search Engine, Recommendation System, Information Retrieval

Conflicts of Interest

The authors declare no conflicts of interest.

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