Collaborative and Content-based Filtering
Overview of Collaborative and Content-based Filtering in Recommender Systems Recommender systems have become integral to modern technology applications, spanning diverse industries from e-commerce to media streaming services. At the heart of these systems are filtering algorithms that power the delivery of personalized suggestions to each user. Two prominent types of filtering techniques are Collaborative Filtering and Content-based Filtering. Key Terms: Collaborative Filtering: This approach models recommendations based on a user’s past behavior, such as items previously purchased or selected, as well as numerical ratings given to those items....