RecoNet: An Interpretable Neural Architecture for Recommender Systems

Details

Request a copyRequest a copy
Serval ID
serval:BIB_765368764D47
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
UNIL/CHUV
Title
RecoNet: An Interpretable Neural Architecture for Recommender Systems
Title of the conference
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Author(s)
Fusco Francesco, Vlachos Michalis (co-first), Vasileiadis Vasileios, Wardatzky Kathrin, Schneider Johannes
ISBN
9780999241141
Publication state
Published
Issued date
2019
Peer-reviewed
Oui
Language
english
OAI-PMH
oai:serval.unil.ch:BIB_765368764D47
DOI
10.24963/ijcai.2019/325
Publisher's website
http://doi.org/10.24963/ijcai.2019/325
Create date
17/09/2019 21:00
Last modification date
04/07/2020 6:19
Usage data