(Summarized Notes from Recommender Systems (intro chap) + Survey Papers) The basic idea in Recommender systems is to use different sources of feedback data to infer customer interests. This feedback can be direct – like user ratings (likes/ dislikes/ 1-5 etc) or implicit – based on click or purchasing behavior. In the most common formulation,Continue reading “Recommender Systems”