Which kind of recommendation system is used by amazon to recommend similar items?

Amazon uses a collaborative filtering algorithm for the recommendation of similar items. It’s a user to user similarity based mapping of user likeness and susceptibility to buy.

Amazon primarily uses a combination of collaborative filtering and content-based filtering for its recommendation system. Collaborative filtering involves recommending items based on the preferences and behavior of other users, while content-based filtering recommends items similar to those a user has already shown interest in.

So, the correct answer to the question “Which kind of recommendation system is used by Amazon to recommend similar items?” would be a hybrid recommendation system, combining collaborative filtering and content-based filtering.