This work will focus on the possibilities of data mining in film analysis and its use in predicting ratings on ČSFD movie diabase, based on film annotations and other attributes of the film. The main goal is to determine whether it is possible to predict user ratings of new movies and identify the attributes that affect the most the ratings on Movie Database, as well as other factors such as. revenues and attendance.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:384348 |
| Date | January 2018 |
| Creators | Podhůrská, Martina |
| Contributors | Souček, Jiří, Koubský, Petr |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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