RECAID: A Sponsorship Recommendation Approach

William Bernardes de Oliveira, Wladmir Brandão

Abstract

Non-government organizations play an important role in society, providing access to basic services in culture, education, health, and security for needy people. Some of these organizations raise funds for their social projects through sponsorship programs for people in poverty, deprivation, exclusion and vulnerability. The intensive use of technology for sponsors and beneficiaries matching is paramount to create more lasting bonds, maximizing the likelihood of stronger relationships, consequently raising more resources for projects. In this article we propose and evaluate a learning approach to recommend beneficiaries to sponsors. Particularly, we exploit different recommendation strategies, such as collaborative filtering with matrix factorization, content-based with bag of words and word embeddings and knowledge-based with association rules. Experimental results show that content-based strategies based on word embeddings are more effective, reaching up to 72% of performance in MAP and nDCG. Additionally, it can effectively recommend beneficiaries to sponsors even if there is less feedback information on beneficiaries and sponsors to train recommendation models.

Download


Paper Citation


in Harvard Style

Bernardes de Oliveira W. and Brandão W. (2021). RECAID: A Sponsorship Recommendation Approach. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 618-625. DOI: 10.5220/0010400906180625


in Bibtex Style

@conference{iceis21,
author={William Bernardes de Oliveira and Wladmir Brandão},
title={RECAID: A Sponsorship Recommendation Approach},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={618-625},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010400906180625},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - RECAID: A Sponsorship Recommendation Approach
SN - 978-989-758-509-8
AU - Bernardes de Oliveira W.
AU - Brandão W.
PY - 2021
SP - 618
EP - 625
DO - 10.5220/0010400906180625