Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features.

Elham Motamedi|Danial Khosh Kholgh|Sorush Saghari|Mehdi Elahi|Francesco Barile|Marko Tkalcic


Anthology ID:DBLP:journals/ipm/MotamediKSEBT24
Year:2024
Venue:Information Processing and Management
Pages:103610
URL:https://doi.org/10.1016/J.IPM.2023.103610
DOI:https://doi.org/10.1016/J.IPM.2023.103610
DBLP:journals/ipm/MotamediKSEBT24
BibTeX:
@article{motamedi-2024-predicting, author = {Elham Motamedi and Danial Khosh Kholgh and Sorush Saghari and Mehdi Elahi and Francesco Barile and Marko Tkalcic}, title = {{Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features}}, journal = {Information Processing and Management}, volume = {61}, number = {2}, pages = {103610}, year = {2024}, url = {https://doi.org/10.1016/J.IPM.2023.103610}, doi = {https://doi.org/10.1016/J.IPM.2023.103610} }