From 8aa55ac31ca8ce56d4caf9b92464d952bcd59938 Mon Sep 17 00:00:00 2001 From: "hannes.kuchelmeister" Date: Fri, 8 May 2020 13:51:17 +0200 Subject: [PATCH] remove hybrid recommender --- 30_Thesis/sections/10_foundations.tex | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/30_Thesis/sections/10_foundations.tex b/30_Thesis/sections/10_foundations.tex index 356bac9..9c89c87 100644 --- a/30_Thesis/sections/10_foundations.tex +++ b/30_Thesis/sections/10_foundations.tex @@ -8,7 +8,7 @@ This chapter gives an overview of the foundations this thesis is based upon. It A recommender system is a system that gives individualized recommendations to users to guide them through a large space of objects \cite[~ p. 331]{burkeHybridRecommenderSystems2002}. -There are several approaches to recommender systems presented in \cite{felfernigGroupRecommenderSystems2018}, some of them are: collaborative filtering, constraint-based recommendation, content-based filtering and hybrid recommendation. +There are several approaches to recommender systems presented in \cite{felfernigGroupRecommenderSystems2018}, some of them are: collaborative filtering, constraint-based recommendation and content-based filtering. There is also hybrid recommendation which combines approaches but this is not the focus in this thesis. \subsection{Collaborative Filtering} @@ -135,9 +135,6 @@ Last, content-based filtering does not depend on historic group preference accur In constrained-based recommendation approaches it is possible that constraints lead to no possible solution \cite[~ p. 44]{felfernigAlgorithmsGroupRecommendation2018}. This then requires further techniques of constrained relaxing and a user is faced with the situation that they have to search for constraints which fulfil less strict requirements. Moreover, in groups a constraint-based approach has to deal with contrary user constraints. Therefore, diverse groups could have issues with it. -\subsection{Hybrid Recommendation} -A hybrid recommender combines different recommendation approaches to use the strengths of each individual one and to reduce effects of weaknesses \cite{burkeHybridRecommenderSystems2002}. - \section{Group Recommender System} \label{sec:Foundations:GroupRecommenderSystem}