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Distributed Recommender Systems: New Opportunities in Internet Commerce
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Author(s): Badrul M. Sarwar (University of Minnesota, USA), Joseph A. Konstan (University of Minnesota, USA) and John T. Riedl (University of Minnesota, USA)
Copyright: 2001
Pages: 22
Source title:
Internet Commerce and Software Agents: Cases, Technologies and Opportunities
Source Author(s)/Editor(s): Syed Mahbubhur Rahman (Minnesota State University, Mankato, USA) and Robert J. Bignall (Monash University, Australia)
DOI: 10.4018/978-1-930708-01-3.ch020
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Abstract
In this chapter, we introduce the concepts of recommender systems as a very successful Internet commerce tool. Then, we describe the basic principles of recommender systems and carefully analyzes how these systems relate to other prevailing data-analysis techniques and how they are more suitable for providing real-time personalized recommendations for customers of Internet commerce. The following section depicts the importance of recommender systems and their strategies for improving sales. We then analyze the nature and necessity of recommender systems in future commerce applications and establish the need for distributing such services to make them widely available. Later we present a detailed taxonomy of distributed recommender system applications and three different implementation frameworks for providing distributed recommender system services for Internet commerce, we analyze some of the design issues as well.
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