# HG changeset patch
# User mariano
# Date 1461846698 -3600
# Node ID 1b88c2531512a2a59e131ccd0d1fc5828dd41250
# Parent  c5553bc2fc1213d914d90d5e80557fab80ca47b2
intro to intro

diff -r c5553bc2fc12 -r 1b88c2531512 musicweb.tex
--- a/musicweb.tex	Thu Apr 28 11:31:32 2016 +0100
+++ b/musicweb.tex	Thu Apr 28 13:31:38 2016 +0100
@@ -161,7 +161,7 @@
 \end{abstract}
 
 \section{Introduction}\label{sec:introduction}
-
+In recent years we have witnessed an explosion of information, a consequence of millions of users producing and consuming web resources. Researchers and industry have recognised the potential of this data, and have endeavoured to develop methods to handle such a vast amount of information: to understand and manage it, to transform into knowledge. Multimedia content providers have devoted a lot of energy to analysing consumer preference, in an effort to offer customised user experiences. Music stream services, for instance, carry out extensive analysis trying to identify patterns in user's listening habits, and researchers are striving to refine multimedia recommendation algorithms\cite{Song2012}. There are, however, limitations in user-preference based approaches: recommendations based solely on user preference can very easily lead to a ''rich-club phenomenon''\cite{Zhou2004}, in which the short-tail popular music is heavily reinforced whereas most of the music available online is ignored and remains unknown\cite{Celma2010}. Music recommendation systems such as 
 \begin{itemize}
 \item Why are we doing this?
   \begin{itemize}
@@ -183,7 +183,7 @@
 \item Smart music
 
 \end{itemize}
-In recent years we have witnessed an explosion of information, a consequence of millions of users producing and consuming web resources. Researchers and industry have recognised the potential of this data, and have endeavoured to develop methods to handle such vast amounts of information: to understand and manage it, to transform into knowledge. Analysing and providing multimedia content is one of the areas in which these efforts are reaping greater results.   
+ 
 \section{MusicWeb: Yago linking}\label{sec:yago}
 	
 \section{MUSIC: linking by topic}\label{sec:music}
@@ -207,16 +207,31 @@
 	\vspace{-1em}\begin{thebibliography}{5}
 		%
 
-		\bibitem{FazekasRJS10_OMRAS2}
-		G.~Fazekas, Y.~Raimond, K.~Jakobson, and M.~Sandler.
-		\newblock An overview of semantic web activities in the {OMRAS2} project.
-		\newblock {\em Journal of New Music Research (JNMR)}, 39(4), 2010.
-						
-		\bibitem{Porter:ISMIR:15}
-		A.~Porter, D.~Bogdanov, R.~Kaye, R.~Tsukanov, and X.~Serra.
-		\newblock Acousticbrainz: a community platform for gathering music information
-		obtained from audio.
-		\newblock In {\em 16th International Society for Music Information Retrieval
+                \bibitem{Song2012}
+                Y.~Song, S.~Dixon and M.~Pearce.
+                \newblock A survey of music recommendation systems and future perspectives
+                \newblock In {\em Proceedings of the 9th International Symposium on Computer Music Modelling and Retrieval}, 2012.
+ 
+              \bibitem{Zhou2004}
+                S.~Zhou and R. J.~Mondrag\'on
+                \newblock The rich-club phenomenon in the Internet topology
+                \newblock In {\em Communications Letters, IEEE}, 2004
+
+              \bibitem{Celma2010}
+                 O.~Celma
+                 \newblock Music Recommendation and Discovery:The Long Tail, Long Fail, and Long Play in the Digital Music Space.
+                 \newblock Springer Verlag, Heidelberg, 2010. 
+ 
+	       \bibitem{FazekasRJS10_OMRAS2}
+	         G.~Fazekas, Y.~Raimond, K.~Jakobson, and M.~Sandler.
+	         \newblock An overview of semantic web activities in the {OMRAS2} project.
+	         \newblock {\em Journal of New Music Research (JNMR)}, 39(4), 2010.
+		 
+	       \bibitem{Porter:ISMIR:15}
+	         A.~Porter, D.~Bogdanov, R.~Kaye, R.~Tsukanov, and X.~Serra.
+	         \newblock Acousticbrainz: a community platform for gathering music information
+		 obtained from audio.
+                 \newblock In {\em 16th International Society for Music Information Retrieval
 			(ISMIR) Conference}, 2015.
 		
 		\bibitem{DBLP:conf/ismir/RaimondASG07}
@@ -225,7 +240,8 @@
 		\newblock In {\em Proceedings of the 8th International Conference on Music
 			Information Retrieval, ISMIR 2007, Vienna, Austria, September 23-27}, 2007.
 
-                \bibitem{Landauer1998}
+                
+              \bibitem{Landauer1998}
                   T.~Landauer, P.~Folt, and D.~Laham.
                  \newblock An introduction to latent semantic analysis
                  \newblock In {\em Discourse processes, 25}, 1998
@@ -234,6 +250,8 @@
                  D.~Blei, A.~ Ng, and M.I.~Jordan.
                  \newblock Latent Dirichlet Allocation.
                  \newblock In {\em Journal of Machine Learning Research, 3(4-5), 993–1022}, 2012
+
+                 
 	\end{thebibliography}
 	
 \end{document}