A review on individual and multistakeholder fairness in tourism recommender systems

User: Guest

Title:: A review on individual and multistakeholder fairness in tourism recommender systems
Document type:: Zeitschriftenaufsatz
Author(s):: Banerjee, Ashmi ; Banik, Paromita ; Wörndl, Wolfgang
Keywords:: Big Data ; tourism recommender systems ; travel ; information retrieval ; multistakeholder recommendations ; fairness
Journal title:: Frontiers in Big Data
Year:: 2023
Journal volume:: 6
Fulltext / DOI:: doi:10.3389/fdata.2023.1168692
Publisher:: Frontiers Media S.A.
E-ISSN:: 2624-909X
Date of publication:: 10.05.2023
CC license:: by, https://creativecommons.org/licenses/by/4.0

BibTeX

Occurrences: