loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: Universidade de Brasília, Brazil

Keyword(s): Recommendation Algorithms, e-Commerce, Mobile Software Development, iOS, Giftr.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming ; Information Systems Analysis and Specification ; Problem Solving ; Software Engineering

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.202.167

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 565-573. DOI: 10.5220/0006330405650573

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Pereira, C.
AU - Parente da Costa, R.
AU - Dias Canedo, E.
PY - 2017
SP - 565
EP - 573
DO - 10.5220/0006330405650573
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic