Recommendation agent impact on consumer online shopping: The Movie Magic case study

  • Authors:
  • R. Eric Hostler;Victoria Y. Yoon;Tor Guimaraes

  • Affiliations:
  • Information Systems, York College of Pennsylvania, York, PA 17403, United States;Department of Information Systems, School of Business, Virginia Commonwealth University, 301 W. Main Street, PO Box 844000, Richmond, VA 23284, United States;J.E. Owen Chair of Excellence, Department of Decision Sciences, Tennessee Tech University, United States

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

A simulated online shopping environment with a recommender system based on collaborative filtering data has been developed to empirically test the impact of recommendation agents in an online retail environment. The report provides some background for the most widely used types of recommender system based on collaborative filtering. The Movie Magic system developed for this study is described, as well as the experiment assessing the impact of such an agent on product promotion effectiveness, customer satisfaction with the website, and customer loyalty to the website. Finally, the report discusses the implications of the results for system developers and managers interested in using Intelligent Agent technology for enhancing e-commerce. By corroborating the proposed relationships between the use of the recommender agent and improved product promotion, customer satisfaction and loyalty, the results should aid online businesses in further understanding the benefits and limitations of using a recommender agent to support e-commerce.