Diversity Recommendation Systems in Machine Learning and AI

What you consume on social media through Facebook, Twitter, Instagram, the personalization you experience when you search, listen, and watch through Google, Spotify, Youtube, what you discover using Airbnb and UberEats, all of these products are powered by machine learning recommender systems. There is also a hybrid based recommender system, which mixes collaborative and content-based filtering. These machine learning and AI algorithms are what power the consumer products we use every day. Recommendation algorithms make optimizations based on the key assumption that only similarities are good. If you like fantasy books, you will get recommended more fantasy books, if you like progressive politics, you will get recommended more progressive politics.