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On the Embedding Collapse when Scaling up Recommendation Models., , , , , и . CoRR, (2023)AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling., , , , , , и . ICDM, стр. 803-812. IEEE, (2022)A Practical Framework of Conversion Rate Prediction for Online Display Advertising., , , , , и . ADKDD@KDD, стр. 9:1-9:9. ACM, (2017)Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation., , , , , , , , , и . CoRR, (2024)Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation., , , , , , , и . WSDM, стр. 414-423. ACM, (2024)DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving., , , , , и . WSDM, стр. 922-930. ACM, (2021)AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning., , , , , , , , и . AAAI, стр. 10745-10753. AAAI Press, (2023)Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning., , , , и . AAAI, стр. 15644-15652. AAAI Press, (2024)Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach., , , , , и . IJCAI, стр. 2355-2361. ijcai.org, (2022)ForkMerge: Overcoming Negative Transfer in Multi-Task Learning., , , , , , и . CoRR, (2023)