Products Recommendation for Mobile Devices

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

doi:10.20897/jisem.201716

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

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Research Article

Journal of Information Systems Engineering and Management, 2017 - Volume 2 Issue 3, Article No: 16
https://doi.org/10.20897/jisem.201716

Published Online: 02 Aug 2017

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How to cite this article

APA 6th edition

In-text citation: (da Costa et al., 2017)
Reference: da Costa, R. P., Pereira, C. D. P., & Canedo, E. D. (2017). Products Recommendation for Mobile Devices. Journal of Information Systems Engineering and Management, 2(3), 16. https://doi.org/10.20897/jisem.201716

Vancouver

In-text citation: (1), (2), (3), etc.
Reference: da Costa RP, Pereira CDP, Canedo ED. Products Recommendation for Mobile Devices. J INFORM SYSTEMS ENG. 2017;2(3):16. https://doi.org/10.20897/jisem.201716

AMA 10th edition

In-text citation: (1), (2), (3), etc.
Reference: da Costa RP, Pereira CDP, Canedo ED. Products Recommendation for Mobile Devices. J INFORM SYSTEMS ENG. 2017;2(3), 16. https://doi.org/10.20897/jisem.201716

Chicago

In-text citation: (da Costa et al., 2017)
Reference: da Costa, Ruyther Parente, Caíque de Paula Pereira, and Edna Dias Canedo. "Products Recommendation for Mobile Devices". Journal of Information Systems Engineering and Management 2017 2 no. 3 (2017): 16. https://doi.org/10.20897/jisem.201716

Harvard

In-text citation: (da Costa et al., 2017)
Reference: da Costa, R. P., Pereira, C. D. P., and Canedo, E. D. (2017). Products Recommendation for Mobile Devices. Journal of Information Systems Engineering and Management, 2(3), 16. https://doi.org/10.20897/jisem.201716

MLA

In-text citation: (da Costa et al., 2017)
Reference: da Costa, Ruyther Parente et al. "Products Recommendation for Mobile Devices". Journal of Information Systems Engineering and Management, vol. 2, no. 3, 2017, 16. https://doi.org/10.20897/jisem.201716

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.

KEYWORDS

recommendation algorithms e-commerce mobile software development iOS Giftr

REFERENCES

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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.