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IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction.

, , , , , , , and . CIKM, page 2003-2012. ACM, (2023)

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IA-GCN: Interactive Graph Convolutional Network for Recommendation., , , , , , , , and . CoRR, (2022)Concept Drift Adaptation for CTR Prediction in Online Advertising Systems., , , , , and . CoRR, (2022)Dynamic Parameterized Network for CTR Prediction., , , , , , , , and . CoRR, (2021)Research: A Pre-Computing Solution for Online Advertising Serving., , , , , , , , , and 1 other author(s). CoRR, (2022)LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising., , , , , , and . SIGIR, page 2139-2143. ACM, (2023)Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction., , , , , and . SIGIR, page 1806-1810. ACM, (2023)PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving., , , , , , , , , and 1 other author(s). ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 669-683. Springer, (2023)IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction., , , , , , , and . CIKM, page 2003-2012. ACM, (2023)Self-organized forensic support in MANETs., , , and . IPDPS, page 1-8. IEEE, (2008)A Double-CNN BP Decoder on Fast Fading Channels Using Correlation Information., , , , , and . ICCC, page 53-58. IEEE, (2019)