.. image:: pyeco.png
    :height: 20
    :alt: Economie
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-economiste

.. image:: pystat.png
    :height: 20
    :alt: Statistique
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-data-scientist

.. _l-ml2a-ranking:

Ranking
+++++++

*(à venir)*

*Lectures*

* `Learning to rank (software, datasets) <http://arogozhnikov.github.io/2015/06/26/learning-to-rank-software-datasets.html>`_
* `Multiple-criteria decision analysis <https://en.wikipedia.org/wiki/Multiple-criteria_decision_analysis>`_
* `Data-driven Rank Breaking for Efficient Rank Aggregation <http://www.jmlr.org/papers/volume17/16-209/16-209.pdf>`_
* `BPR: Bayesian Personalized Ranking from Implicit Feedback <https://arxiv.org/abs/1205.2618>`_
  (applicable également aux systèmes de recommandation)
* `Online Learning to Rank with Top-k Feedback <http://www.jmlr.org/papers/volume18/16-285/16-285.pdf>`_

*Modules*

* `xgboost <https://xgboost.readthedocs.io/en/latest/>`_
* `scikit-learn <http://scikit-learn.org/>`_
* `pyltr <https://github.com/jma127/pyltr>`_
* `lightfm <https://github.com/lyst/lightfm>`_
* `rankpy <https://github.com/dmitru/rankpy>`_ (standby)
* `The Lemur Project - ranklib <https://sourceforge.net/p/lemur/wiki/RankLib/>`_
* `scikit-criteria <https://github.com/leliel12/scikit-criteria>`_ (standby)