Recommender Systems Best Practices: Collaborative Filtering
Recommender systems serve as the backbone of e-commerce, streaming platforms, and online marketplaces, enabling personalized user experiences by predicting preferences and suggesting items based on historical interactions. They are built using explicit and/or implicit feedback from users. Explicit feedback includes direct user inputs, such as ratings and reviews, which provide clear indications of preference but … Read more