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Tlow's innovative approach to item tokenization improves recommendation performance by over 10% in user engagement, even for cold-start items.
Before sinking time into a new recommender model, know that this entropy-based estimator can predict its maximum achievable accuracy, revealing untapped potential or insurmountable data limitations.
