\contentsline {table}{\numberline {5.1}{\ignorespaces Summary of user-free recommendation models.}}{116}{table.5.1}
\contentsline {table}{\numberline {6.1}{\ignorespaces Deep learning-based recommendation techniques.}}{144}{table.6.1}
\contentsline {table}{\numberline {6.2}{\ignorespaces Comparison of socially-aware recommendation techniques.}}{151}{table.6.2}
\contentsline {table}{\numberline {6.3}{\ignorespaces Comparison of price-aware recommendation techniques.}}{158}{table.6.3}
\contentsline {table}{\numberline {7.1}{\ignorespaces Comparison of temporally-aware recommendation techniques.}}{183}{table.7.1}
\contentsline {table}{\numberline {7.2}{\ignorespaces Markov-Chain models for personalized recommendation.}}{188}{table.7.2}
\contentsline {table}{\numberline {7.3}{\ignorespaces Summary of deep-learning based sequential models.}}{200}{table.7.3}
\contentsline {table}{\numberline {8.1}{\ignorespaces Example of topics that explain variance in rating dimensions on \emph {Yelp}.}}{229}{table.8.1}
\contentsline {table}{\numberline {8.2}{\ignorespaces Summary of personalized text generation approaches.}}{233}{table.8.2}
\contentsline {table}{\numberline {8.3}{\ignorespaces Summary of approaches for conversational recommendation.}}{239}{table.8.3}
\contentsline {table}{\numberline {10.1}{\ignorespaces Summary of diversification techniques.}}{274}{table.10.1}
\contentsline {table}{\numberline {10.2}{\ignorespaces Diversified recommendations (maximal marginal relevance). }}{279}{table.10.2}
\contentsline {table}{\numberline {10.3}{\ignorespaces Comparison of personalized fairness objectives.}}{292}{table.10.3}