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1 \begin{thebibliography}{1}
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2
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3 \bibitem{JCC4:JCC4393}
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4 danah~m. boyd and Nicole~B. Ellison.
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5 \newblock Social network sites: Definition, history, and scholarship.
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7 2007.
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8
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9 \bibitem{Burke02}
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10 R.~Burke.
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11 \newblock Hybrid recommender systems: Survey and experiments.
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12 \newblock {\em User Modelling and User-Adapted Interaction}, 12(4):331--370,
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13 2002.
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14
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15 \bibitem{Castanedo13}
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16 F.~Castanedo.
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17 \newblock A review of data fusion techniques.
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18 \newblock {\em The Scientific World Journal}, 2013, 2013.
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19
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20 \bibitem{1242}
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21 {\`O}.~Celma.
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22 \newblock {\em Music Recommendation and Discovery in the Long Tail}.
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23 \newblock PhD thesis, Universitat Pompeu Fabra, Barcelona, 2008.
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24
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25 \bibitem{Lee09}
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26 H.~Lee, L.~Yan, P.~Pham, and A.~Y. Ng.
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27 \newblock Unsupervised feature learning for audio classification using
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28 convolutional deep belief networks.
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29 \newblock In {\em Advances in Neural Information Processing Systems 22 -
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30 Proceedings of the 2009 Conference}, pages 1096--1104, 2009.
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31
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32 \bibitem{Lops11}
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33 Pasquale Lops, Marco de~Gemmis, and Giovanni Semeraro.
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34 \newblock {\em Content-based Recommender Systems: State of the Art and Trends},
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35 pages 73--105.
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36 \newblock Springer US, Boston, MA, 2011.
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37
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38 \bibitem{export:115396}
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39 Guy Shani and Asela Gunawardana.
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40 \newblock Evaluating recommender systems.
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41 \newblock Technical Report MSR-TR-2009-159, November 2009.
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42
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43 \bibitem{Yoshii08}
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44 K.~Yoshii, M.~Goto, K.~Komatani, T.~Ogata, and H.~G. Okuno.
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45 \newblock An efficient hybrid music recommender system using an incrementally
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46 trainable probabilistic generative model.
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47 \newblock {\em IEEE Transactions on Audio, Speech and Language Processing},
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48 16(2):435--447, 2008.
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49
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50 \end{thebibliography}
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