view Report/chiliguano_msc_finalproject.toc @ 20:1dbd24575d44

Report update
author Paulo Chiliguano <p.e.chiilguano@se14.qmul.ac.uk>
date Tue, 04 Aug 2015 12:13:47 +0100
parents cb62e1df4493
children e68dbee1f6db
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\contentsline {chapter}{\numberline {1}Introduction}{7}{chapter.1}
\contentsline {section}{\numberline {1.1}Outline of the thesis}{8}{section.1.1}
\contentsline {chapter}{\numberline {2}Background}{9}{chapter.2}
\contentsline {section}{\numberline {2.1}Recommender Systems}{9}{section.2.1}
\contentsline {subsection}{\numberline {2.1.1}Collaborative filtering (CF)}{9}{subsection.2.1.1}
\contentsline {subsection}{\numberline {2.1.2}Content-based methods}{10}{subsection.2.1.2}
\contentsline {subsection}{\numberline {2.1.3}Hybrid methods}{10}{subsection.2.1.3}
\contentsline {section}{\numberline {2.2}Online Social Networks}{10}{section.2.2}
\contentsline {section}{\numberline {2.3}Deep Learning}{11}{section.2.3}
\contentsline {subsection}{\numberline {2.3.1}Convolutional Neural Networks (CNN)}{11}{subsection.2.3.1}
\contentsline {section}{\numberline {2.4}Estimation of Distribution Algorithms (EDAs)}{11}{section.2.4}
\contentsline {chapter}{\numberline {3}Methodology}{12}{chapter.3}
\contentsline {section}{\numberline {3.1}Data collection}{12}{section.3.1}
\contentsline {subsection}{\numberline {3.1.1}Taste profile subset filtering}{12}{subsection.3.1.1}
\contentsline {subsection}{\numberline {3.1.2}Audio samples collection}{12}{subsection.3.1.2}
\contentsline {subsection}{\numberline {3.1.3}Log-mel spectrograms}{12}{subsection.3.1.3}
\contentsline {section}{\numberline {3.2}Algorithms}{12}{section.3.2}
\contentsline {subsection}{\numberline {3.2.1}CNN implementation}{12}{subsection.3.2.1}
\contentsline {subsubsection}{Genre classification}{12}{section*.4}
\contentsline {subsection}{\numberline {3.2.2}Continuous Bayesian EDA}{12}{subsection.3.2.2}
\contentsline {subsection}{\numberline {3.2.3}EDA-based hybrid recommender}{12}{subsection.3.2.3}
\contentsline {chapter}{\numberline {4}Experiments}{13}{chapter.4}
\contentsline {section}{\numberline {4.1}Evaluation for recommender systems}{13}{section.4.1}
\contentsline {subsection}{\numberline {4.1.1}Types of experiments}{13}{subsection.4.1.1}
\contentsline {section}{\numberline {4.2}Evaluation settings}{14}{section.4.2}
\contentsline {subsection}{\numberline {4.2.1}Dataset}{14}{subsection.4.2.1}
\contentsline {subsection}{\numberline {4.2.2}Evaluation measures}{15}{subsection.4.2.2}
\contentsline {subsection}{\numberline {4.2.3}Experimentation aims}{15}{subsection.4.2.3}
\contentsline {chapter}{\numberline {5}Results}{16}{chapter.5}
\contentsline {chapter}{\numberline {6}Conclusion}{17}{chapter.6}
\contentsline {section}{\numberline {6.1}Future work}{17}{section.6.1}