DOC added recommender system related projects
@@ -254,6 +254,28 @@ Other packages useful for data analysis and machine learning.
- `Deep Learning <http://deeplearning.net/software_links/>`_ A curated list of deep learning
software libraries.
+Recommendation Engine packages
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+ - `GraphLab
+ <https://turi.com/products/create/docs/graphlab.toolkits.recommender.html>`_
+ Implementation of classical recommendation techniques (in C++, with
+ Python bindings).
+
+- `implicit <https://github.com/benfred/implicit>`_, Library for implicit
+ feedback datasets.
+
+- `lightfm <https://github.com/lyst/lightfm>`_ A Python/Cython
+ implementation of a hybrid recommender system.
+
+- `OpenRec <https://github.com/ylongqi/openrec>`_ TensorFlow-based
+ neural-network inspired recommendation algorithms.
+
+- `Spotlight <https://github.com/maciejkula/spotlight>`_ Pytorch-based
+ implementation of deep recommender models.
+
+- `Surprise Lib <http://surpriselib.com/>`_ Library for explicit feedback
+ datasets.
Domain specific packages
~~~~~~~~~~~~~~~~~~~~~~~~
