Abstract
The film industry has always been a very important sector in the global market. Therefore, it is very important to maximize the profit by predicting the movie success before its release. Although several studies have been done in this field, it is still needed to improve the prediction performance and collect more data. This study aims to explore the use of Factorization Machines approach in order to predict movie success by predicting IMDb ratings for newly released movies using social media data and compare it to current studies. Also, a framework has been developed in order to gather the movie data from different sources including social media. Comparison of the Factorization Machines to the current models shows that there are promising results.
| Original language | English |
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| Title of host publication | UBMK 2018 - 3rd International Conference on Computer Science and Engineering |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 173-178 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538678930 |
| DOIs | |
| Publication status | Published - 6 Dec 2018 |
| Event | 3rd International Conference on Computer Science and Engineering, UBMK 2018 - Sarajevo, Bosnia and Herzegovina Duration: 20 Sept 2018 → 23 Sept 2018 |
Publication series
| Name | UBMK 2018 - 3rd International Conference on Computer Science and Engineering |
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Conference
| Conference | 3rd International Conference on Computer Science and Engineering, UBMK 2018 |
|---|---|
| Country/Territory | Bosnia and Herzegovina |
| City | Sarajevo |
| Period | 20/09/18 → 23/09/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Data Mining
- Factorization Machines
- IMDb
- Linear Regression
- Machine Learning
- Movie Rating Prediction
- Social Media