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.
Exploiting Textual, Visual, and Product Features for Predicting the Likeability of Movies [link]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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