Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Movie Data Analysis and a Recommendation Model

Authors
Hang Yang1, Yiqing Pei2, Zhihui Wang3, *
1Data Science, Lanzhou University, Lanzhou, China
2Data Science, Durham University, Durham, UK
3Culture and Technology, Sungkyunkwan University, Seoul, Korea
*Corresponding author. Email: floraw0702@163.com
Corresponding Author
Zhihui Wang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_74How to use a DOI?
Keywords
Visualization; Box Office; Movie Recommendation
Abstract

The high-risk nature of the movie industry has kept companies looking for better plans to make and invest in a film. With the deepening of Internet applications, it’s possible to clearly visualize and demonstrate the overview of the film market and the performance of different movie genres with their unique features in the market. The box office is an important indicator to measure movie performance, and it to some extent reflects the economic development of modern society. So, explore the rules of box office and its correlation with other features of the film. Moreover, to establish a recommendation model, by vectorizing and attaching values to characteristics of the films, the distance between two movies can be calculated to find similar movies. Thus, suggestions on preparing budget, choosing genre and casting could be given to the film producer based on these historical movie data so as to achieve higher audience reviews and financial returns.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_74
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_74How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hang Yang
AU  - Yiqing Pei
AU  - Zhihui Wang
PY  - 2022
DA  - 2022/12/20
TI  - Movie Data Analysis and a Recommendation Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 739
EP  - 751
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_74
DO  - 10.2991/978-94-6463-030-5_74
ID  - Yang2022
ER  -