Recommender Systems, Software Architecture, Machine Learning, Testing, Backend.
Empty recommendations There are usually two main reasons for empty recommendations (assuming that the model is functioning perfectly in the majority of cases): The cold start problem, which happens with new users who have limited interactions. The model might not be confident enough in the results