Products Recommendation for Mobile Devices

Journal Title: Journal of Information Systems Engineering & Management - Year 2017, Vol 2, Issue 3

Abstract

The mobile application market and e-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems. In this context, this paper proposes a recommendation algorithm for mobile devices based on the COREL (CustOmer purchase pREdiction modeL) framework. The proposed recommendation algorithm is a customization of the COREL framework, based on the complexity of the implementation associated with iOS mobile applications. Therefore, this work aims to customize a gift recommendation algorithm in the context of mobile devices using as main input the user preferences for the gifts recommendation in the Giftr application.

Authors and Affiliations

Ruyther Parente da Costa, Caíque de Paula Pereira, Edna Dias Canedo

Keywords

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  • EP ID EP349900
  • DOI 10.20897/jisem.201716
  • Views 79
  • Downloads 0

How To Cite

Ruyther Parente da Costa, Caíque de Paula Pereira, Edna Dias Canedo (2017). Products Recommendation for Mobile Devices. Journal of Information Systems Engineering & Management, 2(3), 1-8. https://europub.co.uk/articles/-A-349900