J3R: Joint Multi-task Learning
of Ratings and Review Summaries
for Explainable Recommendation
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. In: Machine Learning and Knowledge Discovery in Databases: Proceedings of ECML PKDD. Part III (= Lecture Notes in Artificial Intelligence, Vol. 11908), S. 339–355, September 2019. Würzburg, Deutschland.
@INPROCEEDINGS{PVS:2019a,
author = {P.V.S., Avinesh and Ren, Yongli and Meyer, Christian M. and Chan, Jeffrey and Bao, Zhifeng and Sanderson, Mark},
title = {{J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation}},
editor = {Brefeld, Ulf and Fromont, Elisa and Hotho, Andreas and Knobbe, Arno and Maathuis, Marloes and Robardet, Céline},
booktitle = {Machine Learning and Knowledge Discovery in Databases: Proceedings of ECML PKDD. Part III},
pages = {339--355},
series = {Lecture Notes in Artificial Intelligence},
volume = {11908},
month = {September},
year = {2019},
location = {Würzburg, Germany},
language = {English},
doi = {10.1007/978-3-030-46133-1_21},
isbn = {978-3-030-46132-4},
issn = {0302-9743},
pdf = {https://chmeyer.de/research/publications/ecml-pkdd2019/pdf/},
url = {https://chmeyer.de/research/publications/ecml-pkdd2019/}
}