The aim of this work is to explore recommender systems for prediction user's future film ratings according to their previous ratings. Author will describe available algorithms and compare their results with his own algorithm. The goal is to find algorithm with the highest prediction accuracy and find the most important parameters for a good predictions.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:328553 |
| Date | January 2013 |
| Creators | Major, Martin |
| Contributors | Kruliš, Martin, Eckhardt, Alan |
| 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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