annotate Report/chiliguano_msc_finalproject.bbl @ 12:20589ba1908a

Uploading Weight Matrix Factorization script
author Paulo Chiliguano <p.e.chiliguano@se14.qmul.ac.uk>
date Mon, 20 Jul 2015 11:22:01 +0100
parents cb62e1df4493
children
rev   line source
p@2 1 \begin{thebibliography}{1}
p@2 2
p@2 3 \bibitem{JCC4:JCC4393}
p@2 4 danah~m. boyd and Nicole~B. Ellison.
p@2 5 \newblock Social network sites: Definition, history, and scholarship.
p@2 6 \newblock {\em Journal of Computer-Mediated Communication}, 13(1):210--230,
p@2 7 2007.
p@2 8
p@2 9 \bibitem{Burke02}
p@2 10 R.~Burke.
p@2 11 \newblock Hybrid recommender systems: Survey and experiments.
p@2 12 \newblock {\em User Modelling and User-Adapted Interaction}, 12(4):331--370,
p@2 13 2002.
p@2 14
p@2 15 \bibitem{Castanedo13}
p@2 16 F.~Castanedo.
p@2 17 \newblock A review of data fusion techniques.
p@2 18 \newblock {\em The Scientific World Journal}, 2013, 2013.
p@2 19
p@2 20 \bibitem{1242}
p@2 21 {\`O}.~Celma.
p@2 22 \newblock {\em Music Recommendation and Discovery in the Long Tail}.
p@2 23 \newblock PhD thesis, Universitat Pompeu Fabra, Barcelona, 2008.
p@2 24
p@2 25 \bibitem{Lee09}
p@2 26 H.~Lee, L.~Yan, P.~Pham, and A.~Y. Ng.
p@2 27 \newblock Unsupervised feature learning for audio classification using
p@2 28 convolutional deep belief networks.
p@2 29 \newblock In {\em Advances in Neural Information Processing Systems 22 -
p@2 30 Proceedings of the 2009 Conference}, pages 1096--1104, 2009.
p@2 31
p@2 32 \bibitem{Lops11}
p@2 33 Pasquale Lops, Marco de~Gemmis, and Giovanni Semeraro.
p@2 34 \newblock {\em Content-based Recommender Systems: State of the Art and Trends},
p@2 35 pages 73--105.
p@2 36 \newblock Springer US, Boston, MA, 2011.
p@2 37
p@2 38 \bibitem{export:115396}
p@2 39 Guy Shani and Asela Gunawardana.
p@2 40 \newblock Evaluating recommender systems.
p@2 41 \newblock Technical Report MSR-TR-2009-159, November 2009.
p@2 42
p@2 43 \bibitem{Yoshii08}
p@2 44 K.~Yoshii, M.~Goto, K.~Komatani, T.~Ogata, and H.~G. Okuno.
p@2 45 \newblock An efficient hybrid music recommender system using an incrementally
p@2 46 trainable probabilistic generative model.
p@2 47 \newblock {\em IEEE Transactions on Audio, Speech and Language Processing},
p@2 48 16(2):435--447, 2008.
p@2 49
p@2 50 \end{thebibliography}