Recommendations, Machine Learning, Data Science, Recommendation System, Engineering.
leverage the full implicit transaction history, T. One approach would be to take each user interaction with a live host, and take the host representation and its K ordered nearest neighbors to generate T x K candidates. We then can use a merge sort mechanism based on a voting consensus algorithm to