Musto, Cataldo
Martina, Alessandro Francesco Maria
Iovine, Andrea
Narducci, Fedelucio
de Gemmis, Marco
Semeraro, Giovanni
Article History
Received: 11 October 2023
Revised: 4 December 2023
Accepted: 5 December 2023
First Online: 12 December 2023
Declarations
: This paper or a similar version is not currently under review by a journal or conference. This paper is void of plagiarism or self-plagiarism as defined by the Committee on Publication Ethics and Springer Guidelines. A previous version of the article has been published as a LBR at ACM UMAP 2022.In particular, the current paper provides the following novel contributions: <i>(a)</i> an extended description of the knowledge extraction and knowledge exploitation pipelines, that more easily allow to reproduce and replicate the pipeline; <i>(b)</i> the evaluation of two different recommendation algorithms (i.e., Doc2Vec and PageRank); <i>(c)</i> a different experiment setting and research questions, aiming at assessing whether and how subjective properties impact the quality of the recommendations; <i>(d)</i> an extended version of the questionnaire that we used in the user study.
: The authors declare no competing interests.
: All the participants gave their consent to participate to the user study.