Replication Data for: Evaluating Explainable Social Choice-based Aggregation Strategies for Group Recommendations with Internal Evaluators

DOI

In this project, we perform a user study to evaluate the effectiveness of Social Choice-Based Explanations for Group Recommender Systems using internal evaluators (i.e., group members evaluate the recommendations provided for the group), 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. For additional details and material refer to the OSF project: https://osf.io/sj76m/

Identifier
DOI https://doi.org/10.34894/VVCLEZ
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/VVCLEZ
Provenance
Creator Barile, Francesco ORCID logo
Publisher DataverseNL
Contributor Barile, Francesco; UB Dataverse support
Publication Year 2025
Rights CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Barile, Francesco (maastrichtuniversity.nl); UB Dataverse support (maastrichtuniversity.nl)
Representation
Resource Type Dataset
Format text/csv
Size 233654; 124104
Version 1.0
Discipline Other