The purpose of a recommender system is to suggest relevant items to users. There exist two major categories of methods: collaborative filtering methods and content-based methods. But building a model from scratch has always been a headache.
Why not use the already built open-source projects to tweak into your requirements and have the best of the open-source environment?
Now out of all those hundreds and thousands of projects on google and GitHub, how to find the most beneficial for you. No worries!! I must take care of it for you. Hence, here is the link to the article which will help you get the most of it.
Topic: Top 5 Open-Source Machine Learning Recommender System Projects with Resources
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