Authors:
Felipe Ciacia de Mendonça
;
Isabela Gasparini
;
Rebeca Schroeder
and
Avanilde Kemczinski
Affiliation:
UDESC - Santa Catarina State University, Joinville, SC, Brazil
Keyword(s):
Recommender System, Scientific Publications, Systematic Mapping.
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.