Compact Xmu Report

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	\begin{abstract}
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	\section{Prepare Foods}
	
	\section{Set A Fire}
	
	\subsection{Use Lighter}
	\subsection{Use Match}
	
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		\bibitem{Pawar2012}
		P.~Y.~Pawar and S.~H.~Gawande, ``A Comparative Study on Different Types of Approaches to Text Categorization,'' \textit{International Journal of Machine Learning and Computing}, vol. 2, no. 4, pp. 423-426, 2012.
		
		\bibitem{Pang2005}
		B.~Pang and L.~Lee, ``Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales,'' \textit{Proceedings of the 43rd Meeting of the Association for Computational Linguistics}, pp. 115–124, 2005.
		
		\bibitem{McAuley2013}
		J.~McAuley, J.~Leskovec, ``Hidden factors and hidden topics: understanding rating dimensions with review text'', \textit{Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013)}, pp. 165-172, October 2013.
		
		\bibitem{Hu2009}
		N.~Hu, P.~Pavlou, and J.~Zhang, ``Overcoming the J-shaped distribution of products reviews,'' \textit{Communications of the ACM}, vol. 52, pp. 144-147, 2009. 
		
		\bibitem{Koren2009}
		Y.~Koren, R.~Bell, and C.~Volinsky, ``Matrix factorization techniques for recommender systems,'' \textit{Computer}, vol. 42, no. 8, pp. 30-37, 2009.
		
		\bibitem{Hu2008}
		Y.~F.~Hu, Y.~Koren, C.~Volinsky, ``Collaborative filtering for implicit feedback datasets,'' \textit{Proceedings of IEEE International Conference on Data Mining (ICDM 2008)}, pp. 263-272, 2008.
		
		\bibitem{Frees2009}
		E.~W.~Frees, \textit{Regression Modeling with Actuarial and Financial Applications}, Cambridge, UK: Cambridge University Press, 2009. ISBN: 978-0521135962
		
	\end{thebibliography}
	\addcontentsline{toc}{section}{References}
	
	
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