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add explanation about aggregation strategies

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hannes.kuchelmeister
2020-04-15 17:53:05 +02:00
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30_Thesis/sections/10_foundations.tex
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@@ -194,6 +194,20 @@ A group recommender system is a recommender system aimed at making recommendatio
\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}
Merging preferences has to be done using an aggregation strategy. This section presents three strategies: multiplication, average and least misery. The multiplication strategy multiplies preferences of users and thereby combines them into a group preference. Similarly the average strategy takes the average of a rating and the least misery strategy takes the lowest rating among group members. To illustrate the example in \autoref{tab:Foundations:RecommenderSystem:MoviePreferences} is used. A group is formed out of Lucy, Eric and Diane. The resulting ratings for each strategy are shown in \autoref{tab:Foundations:RecommenderSystem:AggregationStrategy}.
\begin{table}
\centering
\begin{tabular}{ l | c | c | c | c | c }
& The Matrix & Titanic & Die Hard & Forest Gump & Wall-E \\ \hline
multiplication & 8 & - & 30 & 75 & - \\
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.}
\label{tab:Foundations:RecommenderSystem:AggregationStrategy}
\end{table}
\section{Base Recommender System} \section{Base Recommender System}