PySpark and AWS: Master Big Data with PySpark and AWS - Collaborative Filtering

The video tutorial explores advanced features of Spark, focusing on collaborative filtering. It explains the concept of recommender systems, which predict user preferences to suggest products or content. Examples from Amazon, Netflix, Facebook, and Google illustrate how these systems gather user data and feedback to enhance user experience and engagement. The module emphasizes collaborative filtering as a key technique in recommender systems.

Describe how Facebook's recommender system provides relevant content to users.

What is collaborative filtering and why is it significant in recommender systems?