Question - Explain how a recommender system works.
Answer -
A recommender system is a system that many consumer-facing, content-driven, online platforms employ to generate recommendations for users from a library of available content. These systems generate recommendations based on what they know about the users’ tastes from their activities on the platform.
For example, imagine that we have a movie streaming platform, similar to Netflix or Amazon Prime. If a user has previously watched and liked movies from action and horror genres, then it means that the user likes watching the movies of these genres. In that case, it would be better to recommend such movies to this particular user. These recommendations can also be generated based on what users with a similar taste like watching.