NLP based Recommender System for Plone

Find out how to level up recommendations to your website based on machine learning open source Python library scikit-learn. Now that we’ve tried its simple and efficient tools ourselves, we will show you hands-on how you can benefit from them. We developed a useful add-on for both Plone Classic and Plone Volto. Get smart content recommendations by using basic Natural Language Processing to integrate this content recommendation system which is accessible for everybody.

Vectorisation: create a vocabulary of all unique words, a bag of words. With countvectorizer you calculate the amount of appearances of each word. This leads to a vector, think of a line in a graph. Then for an unknown text you can compare its vector with the list of known vectors, and see what the nearest neighbour is, using sklearn.neighbors.

interaktiv.recommendations is a Plone package for Classic and Volto. It provides a behaviour which can be added to the content type of your choice, plus a control panel. Say you add this for the Page content type. Then on each page you can show a list of other pages that are similar, so are recommended for the user to read.

Future plans:

• auto tagging
• dimensionality reduction with part-of-speech-filtering and lemmatisation, which breaks the words down to their base form.