13hannes11/bachelor_thesis
1
0
Fork 0
mirror of https://github.com/13hannes11/bachelor_thesis.git synced 2024-09-04 01:11:00 +02:00
Code Issues Projects Releases Wiki Activity

fix minor mistakes

Browse Source
This commit is contained in:
hannes.kuchelmeister
2020-05-08 13:50:26 +02:00
parent 28931bfdfd
commit 0eb85aac96
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
30_Thesis/sections/00_introduction.tex
View File

@@ -15,7 +15,7 @@ To give an idea of situations that can use group-based configuration, here are s
\end{itemize} \end{itemize}
Unfortunately, making decisions in a group comes with problems as a lack of communication can lead to worse decision outcomes \cite{atasItemRecommendationUsing2017}. Group dynamics and biases result in suboptimal decisions \cite{kerrBiasJudgmentComparing1996}. Unfortunately, making decisions in a group comes with problems as a lack of communication can lead to worse decision outcomes \cite{atasItemRecommendationUsing2017}. Group dynamics and biases result in suboptimal decisions \cite{kerrBiasJudgmentComparing1996}.
Generally group decisions are complex and often the process that yields the decision result is unstructured, thereby not providing any reproducibility of the success. Groups have different power structures and usually individuals have different interests. Moreover, finding solutions is a rather complex task and group decisions can suffer from intransparency. Generally, group decisions are complex and often the process that yields the decision result is unstructured, thereby not providing any reproducibility of the success. Groups have different power structures and usually individuals have different interests. Moreover, finding solutions is a rather complex task and group decisions can suffer from intransparency.
Group recommenders promise to help with that as they can take individual user preferences and find good compromises for the whole group. They are used in movies, music and travel \cite{garciaGroupRecommenderSystem2009, piliponyte2013sequential, peraGroupRecommenderMovies2013,felfernigGroupRecommenderApplications2018}. The existing literature on recommenders for groups is extensive with many different approaches and domains \cite{delicResearchMethodsGroup2016, chenInterfaceInteractionDesign2011, atasItemRecommendationUsing2017, jamesonRecommendationGroups2007, chenEmpatheticonsDesigningEmotion2014, liuCGSPAComprehensiveGroup2019} but to date there have not been any approaches to combine them with group-based configuration. There have been approaches to combine recommendation techniques with configuration but these were limited to configuration for a single user only \cite{pereiraFeatureBasedPersonalizedRecommender2016, scholzConfigurationbasedRecommenderSystem2017, scholzEffectsDecisionSpace2017}. Group recommenders promise to help with that as they can take individual user preferences and find good compromises for the whole group. They are used in movies, music and travel \cite{garciaGroupRecommenderSystem2009, piliponyte2013sequential, peraGroupRecommenderMovies2013,felfernigGroupRecommenderApplications2018}. The existing literature on recommenders for groups is extensive with many different approaches and domains \cite{delicResearchMethodsGroup2016, chenInterfaceInteractionDesign2011, atasItemRecommendationUsing2017, jamesonRecommendationGroups2007, chenEmpatheticonsDesigningEmotion2014, liuCGSPAComprehensiveGroup2019} but to date there have not been any approaches to combine them with group-based configuration. There have been approaches to combine recommendation techniques with configuration but these were limited to configuration for a single user only \cite{pereiraFeatureBasedPersonalizedRecommender2016, scholzConfigurationbasedRecommenderSystem2017, scholzEffectsDecisionSpace2017}.
@@ -35,4 +35,4 @@ This thesis aims at showing the viability of using group recommenders in a confi
\section{Structure of this Thesis} \section{Structure of this Thesis}
\label{sec:Introduction:Structure} \label{sec:Introduction:Structure}
This thesis first will give an introduction, then present related work. Next, the concept for a recommender will be presented. Afterwards design and implementation of the prototype, produced in this thesis, will be discussed and evaluated. Last, a conclusion will be made which includes a summary and further research possibilities. This thesis first will give an introduction, then present related work. Next, the concept for a recommender will be presented. Afterwards, design and implementation of the prototype produced in this thesis will be discussed and evaluated. Last, a conclusion will be made which includes a summary and further research possibilities for recommendation techniques in group-based configuration.