From 7a70f163ceba1d3fe9fa7f83f365e2990049cba2 Mon Sep 17 00:00:00 2001 From: "hannes.kuchelmeister" Date: Mon, 24 Feb 2020 16:17:42 +0100 Subject: [PATCH] correct some mistakes in introduction --- 25_Outline/sections/00_introduction.tex | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/25_Outline/sections/00_introduction.tex b/25_Outline/sections/00_introduction.tex index 8abefd0..3f6db9a 100644 --- a/25_Outline/sections/00_introduction.tex +++ b/25_Outline/sections/00_introduction.tex @@ -6,8 +6,8 @@ There does not exists much research on recommendation for group configuration, however it is comprised of two different areas of research, recommenders for groups and recommenders for configuration. The existing literature on recommenders for groups is extensive with many different approaches and domains \cite{delicResearchMethodsGroup2016, chenInterfaceInteractionDesign2011, atasItemRecommendationUsing2017, jamesonRecommendationGroups2007, chenEmpatheticonsDesigningEmotion2014, liuCGSPAComprehensiveGroup2019}. \citeauthor{felfernigGroupRecommenderSystems2018} give an overview about basic approaches \cite{felfernigGroupRecommenderSystems2018}. -In are of product configuration research about recommender systems is undertaken as well \cite{pereiraFeatureBasedPersonalizedRecommender2016, scholzConfigurationbasedRecommenderSystem2017, scholzEffectsDecisionSpace2017}. -Group configuration is a more specialized sub field of configuration therefore less research exists on that and because of that there has not been much research on recommenders that are for group recommendation. +In the area of product configuration research about recommender systems is undertaken as well \cite{pereiraFeatureBasedPersonalizedRecommender2016, scholzConfigurationbasedRecommenderSystem2017, scholzEffectsDecisionSpace2017}. +Group configuration is a more specialized sub field of configuration therefore less research exists on that and because of that there has not been much research on recommenders that are for group recommendation in a configuration setting. %Commonly for content-based recommenders categories based on content are created and a separate user or group profile is generated based on the preferences of whole items. For configuration recommenders however this would create additional modelling or content grouping workload, therefore in this thesis it is proposed to use attributes of a configuration as distinguishing categories. @@ -29,7 +29,7 @@ Examples of that are: \label{sec:Introduction:Solution Objectives} \begin{itemize} - \item A system should give recommendation for the group using a scoring function that takes into account preferences of group members, the current state of group members. - \item Recommendations should allow different scoring functions - \item Recommendations should always be valid options (i.e. configurations) + \item A system should give recommendation for the group using a scoring function that takes into account preferences of group members and the current state of the situation. + \item Recommendations should allow different scoring functions. + \item Recommendations should always be valid options. \end{itemize} \ No newline at end of file