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Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2001) Item-Based Collaborative Filtering Recommendation. Proceedings of the 10th International Conference on World Wide Web, Hong Kong, 1-5 May 2001, 285-295.
http://dx.doi.org/10.1145/371920.372071

has been cited by the following article:

• TITLE: CSRecommender: A Cloud Service Searching and Recommendation System

  AUTHORS: John Wheal, Yanyan Yang

  KEYWORDS: Cloud Computing, Search Engine, Recommendation System, Information Retrieval

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.6, May 28, 2015

  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.