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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data., , , , , , , and . CoRR, (2018)Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction., , , , , and . WWW, page 1119-1129. ACM, (2019)Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction., , , , , , , and . CoRR, (2022)DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction., , , , , and . CoRR, (2018)Accurate Fault Location based on Deep Neural Evolution Network in Optical Networks for 5G and Beyond., , , , and . OFC, page 1-3. IEEE, (2019)Representation Learning-based Slice Resource Reconfiguring Scheme in Multimedia Networks., , , , , and . BMSB, page 1-3. IEEE, (2020)AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction., , , , , , and . SIGIR, page 199-208. ACM, (2020)Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms., , , , , , and . KDD, page 2997-3006. ACM, (2022)Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction., , , , , , and . ICDE, page 1450-1462. IEEE, (2022)MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction., , , , , , , , and . ICDE, page 727-740. IEEE, (2022)