view Report/chiliguano_msc_finalproject.toc @ 2:cb62e1df4493

Report

\contentsline {chapter}{\numberline {1}Introduction}{7}
\contentsline {section}{\numberline {1.1}Outline of the thesis}{8}
\contentsline {chapter}{\numberline {2}Background}{9}
\contentsline {section}{\numberline {2.1}Recommender Systems}{9}
\contentsline {subsection}{\numberline {2.1.1}Content-based Recommender Systems}{9}
\contentsline {subsection}{\numberline {2.1.2}Collaborative filtering Recommender System}{9}
\contentsline {subsection}{\numberline {2.1.3}Hybrid Recommender Systems}{10}
\contentsline {section}{\numberline {2.2}Online Social Networks}{10}
\contentsline {subsection}{\numberline {2.2.1}APIs}{10}
\contentsline {section}{\numberline {2.3}Data Fusion Techniques}{10}
\contentsline {chapter}{\numberline {3}Main contribution}{11}
\contentsline {section}{\numberline {3.1}Methods}{11}
\contentsline {subsection}{\numberline {3.1.1}Content based modelling}{11}
\contentsline {subsection}{\numberline {3.1.2}Collaborative filtering}{11}
\contentsline {section}{\numberline {3.2}Algorithms}{11}
\contentsline {subsection}{\numberline {3.2.1}Deep Belief Networks}{11}
\contentsline {subsubsection}{Convolutional Deep Belief Network (CDBN)}{11}
\contentsline {chapter}{\numberline {4}Experiments}{12}
\contentsline {section}{\numberline {4.1}Evaluation for recommender systems}{12}
\contentsline {subsection}{\numberline {4.1.1}Types of experiments}{12}
\contentsline {section}{\numberline {4.2}Evaluation settings}{13}
\contentsline {subsection}{\numberline {4.2.1}Dataset}{13}
\contentsline {subsection}{\numberline {4.2.2}Evaluation measures}{13}
\contentsline {subsection}{\numberline {4.2.3}Experimentation aims}{13}
\contentsline {chapter}{\numberline {5}Results}{14}
\contentsline {chapter}{\numberline {6}Conclusion}{15}
\contentsline {chapter}{Bibliography}{16}