Recommendations, Machine Learning, Data Science, Recommendation System, Engineering.
sequences which we began to explore, but opted to come back to later. After the investigation though, we landed on starting with matrix factorization approximations to represent the user-host embeddings using Bayesian Personalized Ranking (BPR) [8] and its variant Weight Approximate-Rank Pairwise