Can Machines Learn Creativity Needs? An Approach Based on Matrix Completion
Crossref DOI link: https://doi.org/10.1007/s40797-022-00200-8
Published Online: 2022-07-08
Published Print: 2023-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gnecco, Giorgio http://orcid.org/0000-0002-5427-4328
Landi, Sara
Riccaboni, Massimo
Funding for this research was provided by:
Scuola IMT Alti Studi Lucca
Text and Data Mining valid from 2022-07-08
Version of Record valid from 2022-07-08
Article History
Received: 14 December 2021
Accepted: 16 June 2022
First Online: 8 July 2022
Declarations
:
: The authors declare that they have no conflicts of interest.