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hannes.kuchelmeister
2020-05-08 12:10:30 +02:00
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30_Thesis/sections/10_foundations.tex
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@@ -147,7 +147,7 @@ Advantages and disadvantages of basic recommendation techniques are listed in \a
\item No results
\end{itemize} \\
\end{tabularx}
\caption{A description of the advantages and disadvantages of common recommendation techniques \cite{richthammerSituationAwarenessRecommender2018, shokeenStudyFeaturesSocial2019,hahslerRecommenderlabFrameworkDeveloping2015, aminiDiscoveringImpactKnowledge2011, suSurveyCollaborativeFiltering2009}}
\caption[Comparison of Recommendation Approaches]{A description of the advantages and disadvantages of common recommendation techniques \cite{richthammerSituationAwarenessRecommender2018, shokeenStudyFeaturesSocial2019,hahslerRecommenderlabFrameworkDeveloping2015, aminiDiscoveringImpactKnowledge2011, suSurveyCollaborativeFiltering2009}}
\label{tab:Foundations:RecommenderComparison}
\end{center}
\end{table}
@@ -186,7 +186,7 @@ Both the approach of merging preferences and the approach of using individual us
average & $\frac{7}{3}$ & - & $\frac{10}{3}$ & $\frac{13}{3}$ & - \\
least misery & 1 & - & 2 & 3 & - \\
\end{tabular}
\caption{An example showing preference aggregation strategies for a group using the data from \autoref{tab:Foundations:RecommenderSystem:MoviePreferences}. Titanic and Wall-E were left out because not all group members have rated these movies.}
\caption[Movies: Result Matrix for Group Aggregation Strategies]{An example showing preference aggregation strategies for a group using the data from \autoref{tab:Foundations:RecommenderSystem:MoviePreferences}. Titanic and Wall-E were left out because not all group members have rated these movies.}
\label{tab:Foundations:RecommenderSystem:AggregationStrategy}
\end{table}
@@ -200,7 +200,7 @@ He only makes changes to M.Customer which is renamed to M.Collab-Customer and in
\begin{figure}
\centering
\includegraphics[width=0.6\textwidth]{./figures/20_fountations/MerlinCollaborativeConfigurator.pdf}
\caption{Architecture of Collaborative Configurator Merlin \cite[Fig. 4.3]{raabKollaborativeProduktkonfigurationEchtzeit2019}}
\caption[Architecture: Collaborative Configurator]{Architecture of Collaborative Configurator Merlin \cite[Fig. 4.3]{raabKollaborativeProduktkonfigurationEchtzeit2019}}
\label{fig:Foundations:CollaborativeConfiguratorMerlin}
\end{figure}
@@ -210,7 +210,7 @@ The following list provides a short overview over each component.
\item[M.Core] provides the base of the configurator. It checks the configuration against all rules in the database, provides possible alternatives if a change invalidates other parts of a configuration. The system relies on a CSP solver for validation and suggestion of alternatives.
\item[M.Model] is the editor to create products and rules. These rules can then be uploaded to M.Core.
\item[M.Collab] is a node.js server application that communicates with M.Core via REST-API and with M.Collab-Customer via WebSocket. It sits in between M.Collab-Customer and M.Core and handles all processing regarding collaborative configuration.
\item[M.Collab-Customer] ia a modified version of M.Customer that does all communication via WebSocket and does communicate with M.Collab instead of M.Core. M.Customer is the customer facing component. It allows a customer to configure a product or solution.
\item[M.Collab-Customer] is a modified version of M.Customer that does all communication via WebSocket and does communicate with M.Collab instead of M.Core. M.Customer is the customer facing component. It allows a customer to configure a product or solution.
\end{description}
\section{Software Design}