Products Recommendation for Mobile Devices

Ruyther Parente da Costa 1 * , Caíque de Paula Pereira 1, Edna Dias Canedo 1

J INFORM SYSTEMS ENG, Volume 2, Issue 3, Article No: 16.

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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.


recommendation algorithms, e-commerce, mobile software development, iOS, Giftr


da Costa, R. P., Pereira, C. D. P., and Canedo, E. D. (2017). Products Recommendation for Mobile Devices. Journal of Information Systems Engineering & Management, 2(3), 16.

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