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Guide to Recommender Systems

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    .. sidebar:: Download

       * `PDF, 2 pages per side <./_downloads/PythonScientific.pdf>`_

       * `PDF, 1 page per side <./_downloads/PythonScientific-simple.pdf>`_

       * `HTML and example files <https://github.com/muricoca/recommendation-lectures.github.com/zipball/master>`_

       * `Source code (github) <https://github.com/muricoca/recommendation-lectures>`_

    .. topic:: This document

        Teaching material on Recommender Systems using Python, this guide will introduce the main techniques and study cases. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginer to expert.

        .. toctree::
            :maxdepth: 1

            AUTHORS.rst
            LICENSE.rst
            CHANGES.rst


.. toctree::
   :maxdepth: 3
   :numbered:

   intro/index.rst


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 .. raw:: html

   <small>

 Version: |version| (output of ``git describe`` for `project repository`_)

 .. _`project repository`: https://github.com/muricoca/recommendation-lectures

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 .. raw:: html

   <div style='visibility: hidden ; height=0'>

 :download:`RecSysTutorial.pdf` :download:`PythonScientific-simple.pdf`

 .. raw:: html

   </div>
   </small>