Resources
=========

Articles about Implicit
-----------------------

These blog posts describe the algorithms that power this library:

 * `Finding Similar Music with Matrix Factorization <http://www.benfrederickson.com/matrix-factorization>`_
 * `Faster Implicit Matrix Factorization <http://www.benfrederickson.com/fast-implicit-matrix-factorization>`_
 * `Implicit Matrix Factorization on the GPU <http://www.benfrederickson.com/implicit-matrix-factorization-on-the-gpu/>`_
 * `Approximate Nearest Neighbours for Recommender Systems <http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/>`_
 * `Distance Metrics for Fun and Profit <http://www.benfrederickson.com/distance-metrics/>`_

There are also several other blog posts about using Implicit to build recommendation systems:

 * `Recommending GitHub Repositories with Google BigQuery and the implicit library <https://medium.com/@jbochi/recommending-github-repositories-with-google-bigquery-and-the-implicit-library-e6cce666c77>`_
 * `Intro to Implicit Matrix Factorization: Classic ALS with Sketchfab Models <http://blog.ethanrosenthal.com/2016/10/19/implicit-mf-part-1/>`_
 * `A Gentle Introduction to Recommender Systems with Implicit Feedback <https://jessesw.com/Rec-System/>`_