Mobile Gift Recommendation Algorithm

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

2017

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 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.

Paper Citation

in Harvard Style

Pereira C., Parente da Costa R. and Dias Canedo E. (2017). Mobile Gift Recommendation Algorithm . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 565-573. DOI: 10.5220/0006330405650573

in Bibtex Style

@conference{iceis17,
author={Caíque de Paula Pereira and Ruyther Parente da Costa and Edna Dias Canedo},
title={Mobile Gift Recommendation Algorithm},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={565-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006330405650573},
isbn={978-989-758-247-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Mobile Gift Recommendation Algorithm
SN - 978-989-758-247-9
AU - Pereira C.
AU - Parente da Costa R.
AU - Dias Canedo E.
PY - 2017
SP - 565
EP - 573
DO - 10.5220/0006330405650573