From b22dc1880f1487e0552dee24a2ac22a031b94e55 Mon Sep 17 00:00:00 2001 From: "hannes.kuchelmeister" Date: Sun, 26 Apr 2020 18:20:29 +0200 Subject: [PATCH] add summary part to conclusion --- 30_Thesis/sections/80_conclusion.tex | 26 ++------------------------ 1 file changed, 2 insertions(+), 24 deletions(-) diff --git a/30_Thesis/sections/80_conclusion.tex b/30_Thesis/sections/80_conclusion.tex index 0b19951..6cbe7d1 100644 --- a/30_Thesis/sections/80_conclusion.tex +++ b/30_Thesis/sections/80_conclusion.tex @@ -5,33 +5,11 @@ This chapter gives a summary about the thesis, discusses limitations and gives a \todo[inline]{write chapter} -Restating the aims of the study: -\begin{itemize} - \item Proposed an approach to using item-based recommendation for group configuration - \item Show the viability of a recommender for group-based configuration - \item Produce prototype -\end{itemize} - \section{Summary} \label{sec:Conclusion:Summary} -\begin{itemize} - \item Summarising main research findings - \begin{itemize} - \item A group recommender for configuration is possible - \item Show a design for a group based recommender for configuration that recommends complete configurations - \item Works well for overall for groups - \item proposed an offline evaluation metric - \item Homogeneous groups have issues with a recommender that has only limited knowledge of the solution space -> - \item Works with subset of configuration space configuration - \end{itemize} - \item Suggesting implications for the field of knowledge - \begin{itemize} - \item Content based group recommender approaches can be easily modified to work for group settings - \item The prototype can be used and extended for future usage of recommenders in - \end{itemize} - \item Explaining the significance of the findings or contribution of the study -\end{itemize} +The aim of this thesis was to look at recommendation approaches and to propose a concept for recommenders in group-based configuration which helps groups with forming compromises. The proposed concept suggests means to calculate per user scores for configurations. This allows the usage of a basic approach like item-based recommendation. Moreover, these recommendations help a group to form a decision and show possible compromises for groups without requiring a lot of communication between group members. The usefulness of this approach was validated by introducing an offline metric to model group member satisfaction. Generated recommendations improve group decisions and thereby the implemented recommender can be used as a solid base line to improve upon. +Overall it is possible to suggest compromises in group-based configuration which are based on group member's preferences. Furthermore, the recommender works well, also, when knowledge is limited to only a subset of the configuration space. Moreover, it is possible to conclude that content-based recommendation approaches can be adapted to be used for group-based configuration settings. \section{Limitations} \label{sec:Conclusion:Limitations}