Mercurial > hg > hybrid-music-recommender-using-content-based-and-social-information
view Report/chiliguano_msc_finalproject.toc @ 23:45e6f85d0ba4
List of clips downloaded
author | Paulo Chiliguano <p.e.chiilguano@se14.qmul.ac.uk> |
---|---|
date | Tue, 11 Aug 2015 14:23:42 +0100 |
parents | e68dbee1f6db |
children | 68a62ca32441 |
line wrap: on
line source
\contentsline {chapter}{\numberline {1}Introduction}{5}{chapter.1} \contentsline {section}{\numberline {1.1}Outline of the thesis}{6}{section.1.1} \contentsline {chapter}{\numberline {2}Background research}{8}{chapter.2} \contentsline {section}{\numberline {2.1}Online Social Networks}{9}{section.2.1} \contentsline {subsection}{\numberline {2.1.1}Last.fm}{9}{subsection.2.1.1} \contentsline {section}{\numberline {2.2}Music services platforms}{10}{section.2.2} \contentsline {subsection}{\numberline {2.2.1}Echonest}{10}{subsection.2.2.1} \contentsline {subsection}{\numberline {2.2.2}7Digital}{10}{subsection.2.2.2} \contentsline {section}{\numberline {2.3}Recommender Systems}{10}{section.2.3} \contentsline {subsection}{\numberline {2.3.1}Collaborative filtering}{10}{subsection.2.3.1} \contentsline {subsection}{\numberline {2.3.2}Content-based methods}{11}{subsection.2.3.2} \contentsline {section}{\numberline {2.4}Hybrid recommender methods}{11}{section.2.4} \contentsline {section}{\numberline {2.5}Music Information Retrieval}{11}{section.2.5} \contentsline {subsection}{\numberline {2.5.1}Musical genre classification}{11}{subsection.2.5.1} \contentsline {subsection}{\numberline {2.5.2}Deep Learning}{12}{subsection.2.5.2} \contentsline {subsection}{\numberline {2.5.3}Convolutional Neural Networks}{12}{subsection.2.5.3} \contentsline {section}{\numberline {2.6}Estimation of Distribution Algorithms}{13}{section.2.6} \contentsline {chapter}{\numberline {3}Methodology}{14}{chapter.3} \contentsline {section}{\numberline {3.1}Data collection}{14}{section.3.1} \contentsline {subsection}{\numberline {3.1.1}Taste Profile subset cleaning}{15}{subsection.3.1.1} \contentsline {subsection}{\numberline {3.1.2}Audio clips retrieval}{15}{subsection.3.1.2} \contentsline {subsection}{\numberline {3.1.3}Intermediate time-frequency representation for audio signals}{16}{subsection.3.1.3} \contentsline {section}{\numberline {3.2}Algorithms}{16}{section.3.2} \contentsline {subsection}{\numberline {3.2.1}CNN architecture}{16}{subsection.3.2.1} \contentsline {subsubsection}{Genre classification}{17}{section*.2} \contentsline {subsection}{\numberline {3.2.2}Continuous Bayesian EDA}{17}{subsection.3.2.2} \contentsline {subsection}{\numberline {3.2.3}EDA-based hybrid recommender}{17}{subsection.3.2.3} \contentsline {chapter}{\numberline {4}Experiments}{18}{chapter.4} \contentsline {section}{\numberline {4.1}Evaluation for recommender systems}{18}{section.4.1} \contentsline {subsection}{\numberline {4.1.1}Types of experiments}{18}{subsection.4.1.1} \contentsline {section}{\numberline {4.2}Evaluation method}{20}{section.4.2} \contentsline {subsection}{\numberline {4.2.1}Dataset description}{20}{subsection.4.2.1} \contentsline {subsection}{\numberline {4.2.2}Evaluation measures}{20}{subsection.4.2.2} \contentsline {chapter}{\numberline {5}Results}{21}{chapter.5} \contentsline {chapter}{\numberline {6}Conclusion}{22}{chapter.6} \contentsline {section}{\numberline {6.1}Future work}{22}{section.6.1}