Exploiting Textual, Visual, and Product Features for Predicting the Likeability of Movies. Shafaei, M., López-Monroy, A. P., & Solorio, T. In Barták, R. & Brawner, K. W., editors, Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019, pages 215–220, 2019. AAAI Press.
Paper bibtex @inproceedings{DBLP:conf/flairs/ShafaeiLS19,
author = {Mahsa Shafaei and
Adri{\'{a}}n Pastor L{\'{o}}pez{-}Monroy and
Thamar Solorio},
editor = {Roman Bart{\'{a}}k and
Keith W. Brawner},
title = {Exploiting Textual, Visual, and Product Features for Predicting the
Likeability of Movies},
booktitle = {Proceedings of the Thirty-Second International Florida Artificial
Intelligence Research Society Conference, Sarasota, Florida, USA,
May 19-22 2019},
pages = {215--220},
publisher = {{AAAI} Press},
year = {2019},
url = {https://aaai.org/ocs/index.php/FLAIRS/FLAIRS19/paper/view/18305},
timestamp = {Wed, 26 Oct 2022 08:35:08 +0200},
biburl = {https://dblp.org/rec/conf/flairs/ShafaeiLS19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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