Products Recommendation for Mobile Devices
Ruyther Parente da Costa 1 * , Caíque de Paula Pereira 1, Edna Dias Canedo 1
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1 Universidade de Brasília (UnB), BRAZIL
* Corresponding Author

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.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.20897/jisem.201716

, 2017 - Volume 2 Issue 3, Article No: 16

Publication date: 02 Aug 2017

Article Views: 2771

Article Downloads: 1599

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