From 8c246423903c0b8d3b650f43aeec31fbcc9f3278 Mon Sep 17 00:00:00 2001
From: "hannes.kuchelmeister" <hannes.kuchelmeister@cas.de>
Date: Fri, 17 Apr 2020 10:11:42 +0200
Subject: [PATCH] add literature

---
 30_Thesis/thesis.bib | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/30_Thesis/thesis.bib b/30_Thesis/thesis.bib
index 19f5476..0b562ea 100644
--- a/30_Thesis/thesis.bib
+++ b/30_Thesis/thesis.bib
@@ -434,6 +434,22 @@
   langid = {english}
 }
 
+@incollection{felfernigAlgorithmsGroupRecommendation2018,
+  title = {Algorithms for {{Group Recommendation}}},
+  booktitle = {Group {{Recommender Systems}} : {{An Introduction}}},
+  author = {Felfernig, Alexander and Boratto, Ludovico and Stettinger, Martin and Tkal{\v c}i{\v c}, Marko},
+  editor = {Felfernig, Alexander and Boratto, Ludovico and Stettinger, Martin and Tkal{\v c}i{\v c}, Marko},
+  date = {2018},
+  pages = {27--58},
+  publisher = {{Springer International Publishing}},
+  location = {{Cham}},
+  doi = {10.1007/978-3-319-75067-5_2},
+  abstract = {In this chapter, our aim is to show how group recommendation can be implemented on the basis of recommendation paradigms for individual users. Specifically, we focus on collaborative filtering, content-based filtering, constraint-based, critiquing-based, and hybrid recommendation. Throughout this chapter, we differentiate between (1) aggregated predictions and (2) aggregated models as basic strategies for aggregating the preferences of individual group members.},
+  isbn = {978-3-319-75067-5},
+  langid = {english},
+  series = {{{SpringerBriefs}} in {{Electrical}} and {{Computer Engineering}}}
+}
+
 @incollection{felfernigBiasesGroupDecisions2018,
   title = {Biases in {{Group Decisions}}},
   booktitle = {Group {{Recommender Systems}} : {{An Introduction}}},