Gotta build on of these for a complex and content rich elearning site.
So did some research.
Here are some of my findings.
Here is a good start :
Or this one :
Beginners Guide to learn about Content Based Recommender Engines which is from 2015 but still cover the general basis.
Then you have some actual building – for example here in R : A recommendation system in R, applied with respect to the movielens database by Nelson Manohar who seems to specialised in machine learning based on his online profile.
Then we have an old plugin writen for WooCommerce Perso Recommendation Engine Plugin for Woocommerce which is nice to see how it is integrated in WordPress.
Then on youtube, we have quite some tutorials providing some interesting insights with some practical applications – usually movie recommendation engines.
Here we have a good intro from Standford university:
Then finally we can do one :
A really short tutorial (40 min total) to make a python movies recommendation system :
And the same guy but different stack :
Then a different approach, with more algorithm into it :
Then a long one of an hour+ integrating with tensor flow (the google library for deep learning) : Recommendation Systems / Engines with TensorFlow – Google Cloud Platform User Group Singapore
Probably more to come, but that’s a good start for now.
Do not hesitate to suggest stuff – either in the comment or on social somewhere