From 8c39404d6c998088566774987feee0cb9b754cb9 Mon Sep 17 00:00:00 2001
From: "hannes.kuchelmeister" <hannes.kuchelmeister@cas.de>
Date: Wed, 15 Apr 2020 17:50:59 +0200
Subject: [PATCH] move definition to concept

---
 30_Thesis/sections/10_foundations.tex | 6 ------
 30_Thesis/sections/40_concept.tex     | 8 ++++++++
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/30_Thesis/sections/10_foundations.tex b/30_Thesis/sections/10_foundations.tex
index 05118ea..5ebe1a0 100644
--- a/30_Thesis/sections/10_foundations.tex
+++ b/30_Thesis/sections/10_foundations.tex
@@ -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}.
 
-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]{go more into detail about preference aggregation}
 
diff --git a/30_Thesis/sections/40_concept.tex b/30_Thesis/sections/40_concept.tex
index 118e8a5..21ffd97 100644
--- a/30_Thesis/sections/40_concept.tex
+++ b/30_Thesis/sections/40_concept.tex
@@ -46,6 +46,14 @@ a users \emph{utility function} that maps a domain value to a utility value and
     \end{split}
 \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}
 \label{sec:Concept:Requirements}