Recommender Systems based on Scientific Publications: A Systematic Mapping

Felipe Ciacia de Mendonça, Isabela Gasparini, Rebeca Schroeder, Avanilde Kemczinski

2020

Abstract

Recommender Systems are intended to recommend items according users’ preference, resulting in greater satisfaction to them. Among the objects of study that may be recommended are scientific articles from venues such as conferences and journals. However, there are still many challenges in this area, such as effective analysis of textual data as well as improvement of the recommendations produced. In this paper we investigate the state-of-the-art. For this purpose, we have applied the systematic mapping methodology (SM), considering 165 articles selected from the search string. Applying the inclusion criteria resulted in 78 articles, and applying the exclusion criteria resulted in 38 articles to answer the defined research questions. As result, it is possible to know which evaluation approaches, algorithms, and metrics are being used, as well as which databases are being studied for research in the area.

Paper Citation

in Harvard Style

Ciacia de Mendonça F., Gasparini I., Schroeder R. and Kemczinski A. (2020). Recommender Systems based on Scientific Publications: A Systematic Mapping.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 735-742. DOI: 10.5220/0009356307350742

in Bibtex Style

@conference{iceis20,
author={Felipe Ciacia de Mendonça and Isabela Gasparini and Rebeca Schroeder and Avanilde Kemczinski},
title={Recommender Systems based on Scientific Publications: A Systematic Mapping},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={735-742},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009356307350742},
isbn={978-989-758-423-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Recommender Systems based on Scientific Publications: A Systematic Mapping
SN - 978-989-758-423-7
AU - Ciacia de Mendonça F.
AU - Gasparini I.
AU - Schroeder R.
AU - Kemczinski A.
PY - 2020
SP - 735
EP - 742
DO - 10.5220/0009356307350742