Recommender Systems, Software Architecture, Machine Learning, Testing, Backend.
malformed, the resulting image might be corrupted, the media is deleted, the result doesn’t meet the required criteria, etc.). Following validation of these results, there could be times where the recommendations are known to be sub-optimal despite being theoretically highly relevant to the user.