view Report/chiliguano_msc_finalproject.toc @ 27:ae650489d3a8

Updated report

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\contentsline {chapter}{\numberline {1}Introduction}{1}{chapter.1}
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\contentsline {section}{\numberline {1.1}Motivation}{2}{section.1.1}
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\contentsline {section}{\numberline {1.2}Aims}{3}{section.1.2}
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\contentsline {section}{\numberline {1.3}Thesis outline}{4}{section.1.3}
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\contentsline {chapter}{\numberline {2}Background}{5}{chapter.2}
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\contentsline {section}{\numberline {2.1}Online Social Networks}{6}{section.2.1}
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\contentsline {section}{\numberline {2.2}Music services platforms}{7}{section.2.2}
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\contentsline {section}{\numberline {2.3}Recommender Systems}{8}{section.2.3}
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\contentsline {subsection}{\numberline {2.3.1}Collaborative filtering}{8}{subsection.2.3.1}
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\contentsline {subsubsection}{The cold start problem}{10}{section*.8}
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\contentsline {subsubsection}{The long tail phenomenon}{11}{section*.9}
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\contentsline {subsection}{\numberline {2.3.2}Content-based filtering}{11}{subsection.2.3.2}
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\contentsline {subsubsection}{Limitations of CB filtering}{12}{section*.11}
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\contentsline {subsection}{\numberline {2.3.3}Item Representation}{12}{subsection.2.3.3}
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\contentsline {subsection}{\numberline {2.3.4}User Modelling}{13}{subsection.2.3.4}
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\contentsline {subsection}{\numberline {2.3.5}Hybrid recommender approaches}{13}{subsection.2.3.5}
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\contentsline {section}{\numberline {2.4}Music Information Retrieval}{15}{section.2.4}
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\contentsline {subsection}{\numberline {2.4.1}Genre classification}{15}{subsection.2.4.1}
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\contentsline {subsection}{\numberline {2.4.2}Music recommender systems}{16}{subsection.2.4.2}
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\contentsline {subsubsection}{Collaborative retrieval music recommender}{16}{section*.13}
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\contentsline {subsubsection}{Hybrid music recommender}{16}{section*.14}
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\contentsline {section}{\numberline {2.5}Deep Learning}{18}{section.2.5}
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\contentsline {subsection}{\numberline {2.5.1}Deep Neural Networks}{18}{subsection.2.5.1}
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\contentsline {subsubsection}{Music Feature Learning}{20}{section*.17}
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\contentsline {subsection}{\numberline {2.5.2}Convolutional Deep Neural Networks}{20}{subsection.2.5.2}
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\contentsline {subsubsection}{Deep content-based music recommendation}{21}{section*.19}
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\contentsline {section}{\numberline {2.6}Estimation of Distribution Algorithms}{21}{section.2.6}
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\contentsline {section}{\numberline {2.7}Summary}{22}{section.2.7}
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\contentsline {chapter}{\numberline {3}Methodology}{23}{chapter.3}
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\contentsline {section}{\numberline {3.1}Data collection}{23}{section.3.1}
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\contentsline {subsection}{\numberline {3.1.1}Taste Profile subset cleaning}{24}{subsection.3.1.1}
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\contentsline {subsection}{\numberline {3.1.2}Fetching audio data}{25}{subsection.3.1.2}
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\contentsline {subsection}{\numberline {3.1.3}Intermediate time-frequency representation for audio signals}{26}{subsection.3.1.3}
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\contentsline {section}{\numberline {3.2}Data preprocessing}{27}{section.3.2}
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\contentsline {section}{\numberline {3.3}Algorithms}{27}{section.3.3}
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\contentsline {subsection}{\numberline {3.3.1}Music genre classifier}{27}{subsection.3.3.1}
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\contentsline {subsubsection}{CNN network architecture}{27}{section*.21}
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\contentsline {subsection}{\numberline {3.3.2}User profile modelling}{28}{subsection.3.3.2}
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\contentsline {subsubsection}{Permutation EDA}{28}{section*.22}
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\contentsline {subsubsection}{Continuous Univariate Marginal Distribution Algorithm}{28}{section*.23}
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\contentsline {subsection}{\numberline {3.3.3}Song recommendation}{28}{subsection.3.3.3}
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\contentsline {chapter}{\numberline {4}Experiments}{29}{chapter.4}
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\contentsline {section}{\numberline {4.1}Evaluation for recommender systems}{29}{section.4.1}
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\contentsline {subsection}{\numberline {4.1.1}Types of experiments}{29}{subsection.4.1.1}
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\contentsline {subsection}{\numberline {4.1.2}Evaluation strategies}{30}{subsection.4.1.2}
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\contentsline {subsection}{\numberline {4.1.3}Decision based metrics}{31}{subsection.4.1.3}
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\contentsline {subsubsection}{Precision}{31}{section*.24}
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\contentsline {subsubsection}{Recall}{31}{section*.25}
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\contentsline {subsubsection}{F1}{31}{section*.26}
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\contentsline {subsubsection}{Accuracy}{31}{section*.27}
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\contentsline {section}{\numberline {4.2}Evaluation method}{32}{section.4.2}
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\contentsline {subsection}{\numberline {4.2.1}Training set and test set}{32}{subsection.4.2.1}
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\contentsline {chapter}{\numberline {5}Results}{33}{chapter.5}
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\contentsline {section}{\numberline {5.1}Genre classification results}{33}{section.5.1}
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\contentsline {section}{\numberline {5.2}Recommender evaluation results}{34}{section.5.2}
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\contentsline {chapter}{\numberline {6}Conclusion}{35}{chapter.6}
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\contentsline {section}{\numberline {6.1}Future work}{35}{section.6.1}
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\contentsline {chapter}{References}{36}{section.6.1}