%% BioMed_Central_Bib_Style_v1.01

\begin{thebibliography}{40}
% BibTex style file: bmc-mathphys.bst (version 2.1), 2014-07-24
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\ifx \bvolume  \undefined \def \bvolume#1{\textbf{#1}}\fi
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\ifx \betal  \undefined \def \betal{\textit{et al.}}\fi
\ifx \binstitute  \undefined \def \binstitute#1{#1}\fi
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\csname PreBibitemsHook\endcsname

%%% 1
\bibitem{1}
\begin{barticle}
\bauthor{\bsnm{Ji}, \binits{Z.}},
\bauthor{\bsnm{Pi}, \binits{H.}},
\bauthor{\bsnm{Wei}, \binits{W.}},
\bauthor{\bsnm{Xiong}, \binits{B.}},
\bauthor{\bsnm{Wozniak}, \binits{M.}},
\bauthor{\bsnm{Damasevicius}, \binits{R.}}:
\batitle{Recommendation based on review texts and social communities: A hybrid
  model}.
\bjtitle{IEEE Access}
\bvolume{7},
\bfpage{40416}--\blpage{40427}
(\byear{2019})
\end{barticle}
\endbibitem

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\bibitem{2}
\begin{barticle}
\bauthor{\bsnm{Schafer}, \binits{J.B.}},
\bauthor{\bsnm{Konstan}, \binits{J.A.}},
\bauthor{\bsnm{Riedl}, \binits{J.}}:
\batitle{E-commerce recommendation applications}.
\bjtitle{Data Mining \& Knowledge Discovery}
\bvolume{5},
\bfpage{115}--\blpage{153}
(\byear{2001})
\end{barticle}
\endbibitem

%%% 3
\bibitem{3}
\begin{botherref}
\oauthor{\bsnm{Wang}, \binits{J.}},
\oauthor{\bsnm{Zhang}, \binits{Y.}}:
Opportunity model for e-commerce recommendation.
in Proceedings of the 36th international ACM SIGIR conference on Research and
  development in information retrieval.,
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\endbibitem

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\bibitem{4}
\begin{barticle}
\bauthor{\bsnm{Adomavicius}, \binits{G.}},
\bauthor{\bsnm{Tuzhilin}, \binits{A.}}:
\batitle{Toward the next generation of recommender systems: a survey of the
  state-of-the-art and possible extensions}.
\bjtitle{IEEE Transactions on Knowledge \& Data Engineering}
\bvolume{17},
\bfpage{734}--\blpage{749}
(\byear{2005})
\end{barticle}
\endbibitem

%%% 5
\bibitem{5}
\begin{botherref}
\oauthor{\bsnm{Simonyan}, \binits{K.}},
\oauthor{\bsnm{Zisserman.}, \binits{A.}}:
Very deep convolutional networks for large-scale image recognition.
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\endbibitem

%%% 6
\bibitem{6}
\begin{barticle}
\bauthor{\bsnm{Hinton}, \binits{G.E.}},
\bauthor{\bsnm{Osindero}, \binits{S.}},
\bauthor{\bsnm{Teh}, \binits{Y.-W.}}:
\batitle{A fast learning algorithm for deep belief nets}.
\bjtitle{Neural Computation}
\bvolume{18}(\bissue{7}),
\bfpage{1527}--\blpage{1554}
(\byear{2006})
\end{barticle}
\endbibitem

%%% 7
\bibitem{7}
\begin{barticle}
\bauthor{\bsnm{Hinton}, \binits{G.E.}},
\bauthor{\bsnm{Osindero}, \binits{S.}},
\bauthor{\bsnm{Teh}, \binits{Y.-W.}}:
\batitle{Bengio yoshua}.
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\bvolume{2}(\bissue{1}),
\bfpage{1}--\blpage{127}
(\byear{2009})
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\begin{botherref}
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\oauthor{\bparticle{et} \bsnm{al}}:
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\bibitem{9}
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\bauthor{\bsnm{SOMMER}, \binits{D.}},
\bauthor{\bsnm{CHEN}, \binits{M.}},
\bauthor{\bsnm{MANDIC}, \binits{D.}},
\bauthor{\bsnm{TRUTSCHEL}, \binits{U.}}:
\batitle{Feature fusion for the detection of microsleep events}.
\bjtitle{Journal of Vlsi Signal Processing Systems for Signal Image \& Video
  Technology}
\bvolume{49},
\bfpage{329}--\blpage{342}
(\byear{2007})
\end{barticle}
\endbibitem

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\bibitem{10}
\begin{bchapter}
\bauthor{\bsnm{Elkahky}, \binits{A.M.}},
\bauthor{\bsnm{Yang}, \binits{S.}},
\bauthor{\bsnm{He}, \binits{X.}}:
\bctitle{A multi-view deep learning approach for cross domain user modeling in
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In: \bbtitle{the 24th International Conference}
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\begin{botherref}
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Proceedings of the Tenth ACM International Conference on Web Search and Data
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\oauthor{\bsnm{Lukasiewicz}, \binits{T.}}:
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\begin{botherref}
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\begin{barticle}
\bauthor{\bsnm{Greg~Linden}, \binits{B.S.}},
\bauthor{\bsnm{York}, \binits{J.}}:
\batitle{Amazon. com recommendations: Item-to-item collaborative filtering}.
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\begin{bchapter}
\bauthor{\bsnm{Zhao}, \binits{Z.D.}},
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\bauthor{\bsnm{Salakhutdinov}, \binits{R.}},
\bauthor{\bsnm{Mnih}, \binits{A.}},
\bauthor{\bsnm{Hinton}, \binits{G.}}:
\bctitle{Restricted boltzmann machines for collaborative filtering}.
In: \bbtitle{Proceedings of the 24th International Conference on Machine
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Autorec: Autoencoders meet collaborative filtering,
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\begin{botherref}
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\begin{botherref}
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\begin{barticle}
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\begin{bchapter}
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\newcommand{\BMCxmlcomment}[1]{}

\BMCxmlcomment{

<refgrp>

<bibl id="B1">
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} % end of \BMCxmlcomment
