Recommendations, Machine Learning, Data Science, Recommendation System, Engineering.
specific interests. Even though there will always be a trade off between explore and exploit modes of operation, we can use these trajectories to provide some guard rails to our recommendations by explicitly encouraging cross-category discovery and deep community experiences depending on the user