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author | Paulo Chiliguano <p.e.chiliguano@se14.qmul.ac.uk> |
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date | Tue, 21 Jul 2015 11:54:30 +0100 |
parents | cb62e1df4493 |
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\chapter{Main contribution} \section{Methods} \subsection{Content based modelling} Classifier creates a model for each user based on the acoustic features of the tracks that user has liked. \subsection{Collaborative filtering} At this stage, similarities between users is calculated to form a neighbourhood and predict user rating based on combination of the ratings of selected users in the neighbourhood. \section{Algorithms} \subsection{Deep Belief Networks} Deep belief network is a probabilistic model that has one observed layer and several hidden layers. \subsubsection{Convolutional Deep Belief Network (CDBN)}