Recommender IBMWS package is a Python Package to recommend articles for users of the IBM Watson Studio platform.
This Recommender uses a hybrid approach of Content-Based Filtering and Collaborative Filtering to make recommendations.
The content base recommendation system developed relies on a user profile, text vectorization, similarity calculation, ranking and recommendation, as well as handling of new users to deal with the cold start problem.
How to use:
Import the Recommender
from recommender_ibmws.recommender import Recommender
rec = Recommender()
