DocumentCode :
3642756
Title :
Automatic movie ratings prediction using machine learning
Author :
Mladen Marović;Marko Mihoković;Mladen Mikša;Siniša Pribil;Alan Tus
Author_Institution :
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, Zagreb, Croatia
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
1640
Lastpage :
1645
Abstract :
Recommendation systems that model users and their interests are often used to improve various user services. Such systems are usually based on automatic prediction of user ratings of the items provided by the service. This paper presents an overview of some of the methods for automatic ratings prediction in the domain of movie ratings. The chosen methods are based on various approaches described in related papers. During the prediction process both the user and item features can be used. For the purpose of this paper, data was gathered from the publicly available movie database IMDb. The paper encompasses the implementation of the chosen methods and their evaluation using the gathered data. The results show an improvement in comparison to the chosen baseline methods.
Keywords :
"Motion pictures","Artificial neural networks","Training","Regression tree analysis","Matrix decomposition","Mathematical model","Prediction algorithms"
Publisher :
ieee
Conference_Titel :
MIPRO, 2011 Proceedings of the 34th International Convention
Print_ISBN :
978-1-4577-0996-8
Type :
conf
Filename :
5967324
Link To Document :
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