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CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression.

, , , , , , , and . CIKM, page 2544-2553. ACM, (2023)

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Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest., , , , , , , , , and 2 other author(s). CoRR, (2024)FedMix: Boosting with Data Mixture for Vertical Federated Learning., , , , , and . ICDE, page 3379-3392. IEEE, (2024)Interaction-Aware Factorization Machines for Recommender Systems., , and . AAAI, page 3804-3811. AAAI Press, (2019)TVFL: Tunable Vertical Federated Learning towards Communication-Efficient Model Serving., , , , , , and . INFOCOM, page 1-10. IEEE, (2023)Agiler: A P2P live streaming system with low playback lag., , and . CollaborateCom, page 1-10. ICST / IEEE, (2010)Trading bandwidth for playback lag: can active peers help?, , and . ACM Multimedia, page 791-794. ACM, (2010)Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding., , , , , , , and . WSDM, page 750-759. ACM, (2024)CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression., , , , , , , and . CIKM, page 2544-2553. ACM, (2023)A Unified Guaranteed Impression Allocation Framework for Online Display Advertising., , , , , , and . ICDM, page 686-694. IEEE, (2022)CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation., , , , , , , , and . KDD, page 4070-4078. ACM, (2022)