UM XAI Explainable - GRS Impact of scenario complexity

DOI

In this project, we perform a user study to evaluate the effectiveness of Social Choice-Based Explanations for Group Recommender Systems in different complex scenarios, whose complexity is determined by the number of group members, the number of possible items, and the diversity between group members' preferences. The collected answer, properly anonymized, are collected in this dataset. Information on the experiment are available in the preregistration document, which can be accessed, together with the R script for reproducing the performed statistical analyses, at the link: https://osf.io/3dcht/

Identifier
DOI https://doi.org/10.34894/8EVX4U
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/8EVX4U
Provenance
Creator Barile, Francesco
Publisher DataverseNL
Contributor Barile, Francesco
Publication Year 2023
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Barile, Francesco (Maastricht University)
Representation
Resource Type Dataset
Format text/csv
Size 61102; 6949
Version 1.0
Discipline Other