Recommendation Systems as a Success Factor in On-line Shopping

Authors

  • M. F. Ferreira Department of Production and Systems, University of Minho
  • M. L. R. Varela Department of Production and Systems, University of Minho
  • R. A. Ribeiro UNINOVA - CA3, Campus FCT-UNL
  • A. M. Almeida Informatics Engineering Department, School of Engineering

Keywords:

E-commerce; success factors; recommendation, personalization, online shopping support and web platform

Abstract

E-commerce enables online shops to be able to compete within a global market scenario. Crucial recommendation systems and success factors enable to build a good business in the Internet and this knowledge may allow reaching an important competitive advantage for its sustainability. As many disciplines are involved through those success factors, it is required an effective coordination so that it is accomplished accurately and through an integrated and collaborative way. The various stakeholders involved on a given
business should, therefore, be involved and work together to achieve a high quality product that fully satisfies the end customer needs and wishes. Further, current e-commerce systems continually need to provide personalization when their content is shown. Personalization is a crucial success factor that could be addressed using recommender systems, which make suggestions and provide information about items available in the system. Nowadays, there is a vast amount of methods, including AI (Artificial Intelligence) techniques that can be employed for personalization in recommender systems. An illustrative case study of an on-line shop is used to discuss the latter success factors.

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Published

2013-10-01

How to Cite

M. F. Ferreira, M. L. R. Varela, R. A. Ribeiro, & A. M. Almeida. (2013). Recommendation Systems as a Success Factor in On-line Shopping. Journal of Network and Innovative Computing, 1, 10. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/37

Issue

Vol. 1 (2013)

Section

Original Article

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