From 0eb85aac963dc95a8037fccd5701fa87fc23cf38 Mon Sep 17 00:00:00 2001 From: "hannes.kuchelmeister" Date: Fri, 8 May 2020 13:50:26 +0200 Subject: [PATCH] fix minor mistakes --- 30_Thesis/sections/00_introduction.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/30_Thesis/sections/00_introduction.tex b/30_Thesis/sections/00_introduction.tex index 75d9d72..0fec36a 100644 --- a/30_Thesis/sections/00_introduction.tex +++ b/30_Thesis/sections/00_introduction.tex @@ -15,7 +15,7 @@ To give an idea of situations that can use group-based configuration, here are s \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}. -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}. @@ -35,4 +35,4 @@ This thesis aims at showing the viability of using group recommenders in a confi \section{Structure of this Thesis} \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.