diff --git a/baselines.tex b/baselines.tex
index 94b7e6dc8c08a8cc6a2ebbe223e2d5961cb03ca8..1a876f56dd715d300f641a5414725a3a73b9364b 100644
--- a/baselines.tex
+++ b/baselines.tex
@@ -1,5 +1,7 @@
 \section{On the Diffculty of Evaluating Baselines}
+This section reviews the \textit{main part} of the work represented by \citet{Rendle19}. In addition to a \textit{detailed description} and \textit{explanation} of the \textit{experiments} carried out and the \textit{observations} gained from them, a short introduction is given regarding the driving \textit{motivation}
 \subsection{Motivation and Background}
+As in many other fields of \textit{data-science}, a valid \textit{benchmark-dataset} is required for a proper execution of experiments. In the field of \textit{recommender systems}, the best known \textit{datasets} are the \textit{Netflix-} and \textit{MovieLens-dataset}. This section introduces both \textit{datasets} and shows the relationship of \citet{Koren}, one of the authors of this paper, to the \textit{Netflix-Prize}, in addition to the existing \textit{baselines}.
 \subsubsection{Netflix-Prize}
 \subsubsection{MovieLens}
 \subsection{Experiment Realization}
diff --git a/references.bib b/references.bib
index 3536c270f651436d8c45bd6fb2db413cbc79beb2..fe1e2b8e32226b4a315ac54794eab077c48bd804 100644
--- a/references.bib
+++ b/references.bib
@@ -116,4 +116,10 @@ title = {Bayesian probabilistic matrix factorization using Markov chain Monte Ca
 volume = {25},
 journal = {Proceedings of the 25th International Conference on Machine Learning},
 doi = {10.1145/1390156.1390267}
+}
+@misc{Koren,
+  author = {Yehuda Koren},
+  title = {Biography of Yehuda Koren},
+  howpublished = {\url{https://ieeexplore.ieee.org/author/37414256700}},
+  note = {Accessed: 2019-12-21},
 }
\ No newline at end of file
diff --git a/submission.pdf b/submission.pdf
index 0205c154b95c4e08c7c1c7b2b9895c9b23273eec..d4df5269967ce0012925d68f94f86c59fc97d446 100644
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