Counterfactual Recommender

Relevance Matrix Factorization and Asymmetric Tri-training are employed to build a recommendation system. Its algorithm is evaluated by using Coat dataset to simulate a scenario that we have only “biased” observational data for model training while evaluating on “unbiased” data.