Add more text for experiments

baselines.tex

@@ -14,6 +14,10 @@ Thus, \citet{Zh08} presented an \textit{ALS variant} with an \textit{RMSE} of \t
 
 The \textit{Netflix-Prize} made it clear that even the \textit{simplest methods} are \textit{not trivial} and that a \textit{reasonable investigation} and \textit{evaluation requires} an \textit{immense effort} from within the \textit{community}.
 \subsubsection{MovieLens}
+In the \textit{non-commercial sector} of \textit{recommender systems} the \textit{MovieLens10M-dataset} is mostly used. It consists of \textit{10.000.054 data} and was published by the research group \textit{GroupLens} in \textit{2009} \citep{Harper15}. In most cases a \textit{global} and \textit{random} \textit{90:10 split} of the data is used to evaluate the \textit{RMSE}. This means that through a \textit{random selection 90\%} of the data is used for \textit{training} and \textit{10\%} of the remaining data is used for \textit{testing}. Over the last \textit{5 years} a large number of \textit{algorithms} on this data set have been evaluated and the results have been published on \textit{well-known convergences} such as \textit{ICML}, \textit{NeurIPS}, \textit{WWW}, \textit{SIGIR} and \textit{AAAI}. \textit{Figure} \ref{fig:reported_results} shows the \textit{results obtained} over the last \textit{5 years} on the \textit{MovieLens10M-dataset}.
+It can be clearly stated that the \textit{texisting baselines} have been \textit{beaten} and \textit{newer methods} have made \textit{steady progress}.
+\input{reported_results}
+
 \subsection{Experiment Realization}
 \subsubsection{Experiment Preparation}
 \subsubsection{Experiment Implementation}

references.bib

@@ -138,3 +138,23 @@ month = {09},
 pages = {},
 title = {The BellKor solution to the Netflix Grand Prize}
 }
+@article{Harper15,
+ author = {Harper, F. Maxwell and Konstan, Joseph A.},
+ title = {The MovieLens Datasets: History and Context},
+ journal = {ACM Trans. Interact. Intell. Syst.},
+ issue_date = {January 2016},
+ volume = {5},
+ number = {4},
+ month = dec,
+ year = {2015},
+ issn = {2160-6455},
+ pages = {19:1--19:19},
+ articleno = {19},
+ numpages = {19},
+ url = {http://doi.acm.org/10.1145/2827872},
+ doi = {10.1145/2827872},
+ acmid = {2827872},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {Datasets, MovieLens, ratings, recommendations},
+} 
\ No newline at end of file

reported_results.tex

+\begin{figure}[!ht]
+  \centering
+    \includegraphics[scale=0.25]{Bilder/reported_results.png}
+  \caption{\textit{Results obtained} on the \textit{MovieLens10M-dataset} over the last \textit{5 years}. The \textit{y-axis} shows the corresponding \textit{RMSE} values and the \textit{x-axis} shows the \textit{year} in which the corresponding method was developed. \textit{Blue} marked points show \textit{newer methods} that have \textit{competed} against the points shown in \textit{black}. \citep{Rendle19}}
+  \label{fig:reported_results}
+\end{figure}
\ No newline at end of file