Content-Based and Model-Based Recommendations in Go

In this course, learners will dive into content-based recommendation systems, focusing on feature engineering, user and item profiling, and factorization machines. These approaches utilize item features and user profiles to make recommendations. The course provides hands-on coding examples to demonstrate how to develop content-based models that harness rich data for personalized recommendations.