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An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
The pursuit of scaling up recommendation models confronts intrinsic tensions between expanding model capacity and preserving computational tractability.
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression
Based on our winner solution last year, we mainly explore head features and body features with a bootstrap strategy and two novel loss functions in this paper.
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