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What You Pay for Is What You Get., , , and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 395-409. Springer, (2013)The Price Is Right - Models and Algorithms for Pricing Data., , , , and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 380-394. Springer, (2013)TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation., , , , , , and . CIKM, page 155-164. ACM, (2020)Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning., , , and . CIKM, page 4590-4594. ACM, (2022)AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation., , , , and . ICDM, page 458-467. IEEE, (2022)MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction., , , , , , and . KDD, page 1384-1395. ACM, (2023)ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop., , , , , and . KDD, page 5728-5738. ACM, (2023)On-device Integrated Re-ranking with Heterogeneous Behavior Modeling., , , , , , , and . KDD, page 5225-5236. ACM, (2023)Deep Learning for Click-Through Rate Estimation., , , , and . IJCAI, page 4695-4703. ijcai.org, (2021)Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning., , , , , and . PAKDD (1), volume 12084 of Lecture Notes in Computer Science, page 155-167. Springer, (2020)