Investigation of time series-based genre popularity features for box office success prediction

Muzammil Hussain Shahid, Muhammad Arshad Islam

Open source

DOI: 10.7717/peerj-cs.1603
Published: 2023-11-09
Container: PeerJ Computer Science
Publisher: PeerJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.1603,
  title = {Investigation of time series-based genre popularity features for box office success prediction},
  author = {Muzammil Hussain Shahid and Muhammad Arshad Islam},
  year = {2023},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.1603},
  url = {https://doi.org/10.7717/peerj-cs.1603}
}

RIS

TY  - JOUR
TI  - Investigation of time series-based genre popularity features for box office success prediction
AU  - Muzammil Hussain Shahid
AU  - Muhammad Arshad Islam
PY  - 2023
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.1603
UR  - https://doi.org/10.7717/peerj-cs.1603
ER  -

APA

Shahid, M. H., & Islam, M. A. (2023). Investigation of time series-based genre popularity features for box office success prediction. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.1603

Source records

crossref · retrieved 2026-09-25T00:07:53.381Z