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move definition to concept

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hannes.kuchelmeister
2020-04-15 17:50:59 +02:00
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6
30_Thesis/sections/10_foundations.tex
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@@ -191,12 +191,6 @@ A hybrid recommender combines different recommendation approaches to use the str
A group recommender system is a recommender system aimed at making recommendations for a group instead of a single user. To make recommendations group members preferences have to be aggregated. This can be done by either aggregating single user recommendations or by merging preferences of each user into a group preference model. Based on the resulting preference model recommendation strategies as described in \autoref{sec:Foundations:RecommenderSystem} can be used to generate recommendations \cite{jamesonRecommendationGroups2007}. A group recommender system is a recommender system aimed at making recommendations for a group instead of a single user. To make recommendations group members preferences have to be aggregated. This can be done by either aggregating single user recommendations or by merging preferences of each user into a group preference model. Based on the resulting preference model recommendation strategies as described in \autoref{sec:Foundations:RecommenderSystem} can be used to generate recommendations \cite{jamesonRecommendationGroups2007}.
For a group recommender system additional definitions are needed. The attitude of a user is represented by their preferences $P$ which is directly related to the utility a user has from a domain value being present in the configuration. Let
\begin{gather} \label{tab:Foundations:GroupRecommenderSystem:Preferences}
P = \{ P_1, \dotsc, P_n\},\ \text{where} \\
P_i = \{(d,\ u_i(d)) \ | \ \forall d \in \mathfrak{D}(i),\ i=1,\dotsc,m \} \notag
\end{gather}
\todo[inline]{example of a group recommender} \todo[inline]{example of a group recommender}
\todo[inline]{go more into detail about preference aggregation} \todo[inline]{go more into detail about preference aggregation}

8
30_Thesis/sections/40_concept.tex
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@@ -46,6 +46,14 @@ a users \emph{utility function} that maps a domain value to a utility value and
\end{split} \end{split}
\end{equation} \end{equation}
\subsection{Group Recommender}
For a group recommender system additional definitions are needed. The attitude of a user is represented by their preferences $P$ which is directly related to the utility a user has from a domain value being present in the configuration. Let
\begin{gather} \label{tab:Foundations:GroupRecommenderSystem:Preferences}
P = \{ P_1, \dotsc, P_n\},\ \text{where} \\
P_i = \{(d,\ u_i(d)) \ | \ \forall d \in \mathfrak{D}(i),\ i=1,\dotsc,m \} \notag
\end{gather}
\section{Requirements} \section{Requirements}
\label{sec:Concept:Requirements} \label{sec:Concept:Requirements}