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

Affiliation: University of Brasília (UnB), Brazil

Keyword(s): E-commerce, Recommendation Algorithms, Mobile Software Development, iOS, Giftr.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Electronic Commerce ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Mobile Databases ; Software Agents and Internet Computing ; Software Engineering

Abstract: This paper proposes a recommendation algorithm for mobile devices based on the COREL framework. In this context, the mobile application market and m-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems. 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. This algorithm has been tested through three cycles of tests and improved during it, the results suggest that the algorithm presents a good performance and gifts results based on the user preferences.

CC BY-NC-ND 4.0

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Paper citation in several formats:
de Paula Pereira, C.; Parente da Costa, R. and Dias Canedo, E. (2018). Mobile Gift Recommendation Framework - A COREL Framework Approach. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 657-663. DOI: 10.5220/0006792806570663

@conference{iceis18,
author={Caíque {de Paula Pereira}. and Ruyther {Parente da Costa}. and Edna {Dias Canedo}.},
title={Mobile Gift Recommendation Framework - A COREL Framework Approach},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2018},
pages={657-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006792806570663},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Mobile Gift Recommendation Framework - A COREL Framework Approach
SN - 978-989-758-298-1
IS - 2184-4992
AU - de Paula Pereira, C.
AU - Parente da Costa, R.
AU - Dias Canedo, E.
PY - 2018
SP - 657
EP - 663
DO - 10.5220/0006792806570663
PB - SciTePress