The product recommendation engine is a recommendation system that recommend the products that suit the users’ preferences. There are mainly three approaches to recommendation engine:
Collaborative filtering is used to provide the users with personalized services and products by analyzing user’s data and the user can be matched with similar other users. This helps to gain knowledge about the products that the user did not explore with.
Content-based is built upon a keyword-based description of the product and the profile of the types of the products a user has shown interest or liked in the past and recommend similar products
Demographic is quite different from collaborative and content-based since it does not consider the history of users' ratings. Instead, the customers are grouped considering their attributes and recommendations are given according to the various demographic profiles.
If you want to learn Python and build a recommendation engine, you can take up this Python Certification by Intellipaat.
You can watch this video to learn building Recommendation Engine using Python:
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