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Top-aware reinforcement learning based recommendation., , , , , and . Neurocomputing, (2020)GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems., , , , , and . CIKM, page 2861-2868. ACM, (2020)Numerical Feature Representation with Hybrid N-ary Encoding., , , , , , , , , and . CIKM, page 2984-2993. ACM, (2022)Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation., , , , , , and . KDD, page 168-178. ACM, (2022)Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction., , , , , , , and . AAAI, page 4435-4443. AAAI Press, (2023)Embedding Compression in Recommender Systems: A Survey., , , , , , and . ACM Comput. Surv., 56 (5): 130:1-130:21 (May 2024)Accepted Tutorials at The Web Conference 2022., , , , , , , , , and 63 other author(s). WWW (Companion Volume), page 391-399. ACM, (2022)Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction., , , , , and . WWW, page 1119-1129. ACM, (2019)Dual-attentional Factorization-Machines based Neural Network for User Response Prediction., , , , , and . WWW (Companion Volume), page 26-27. ACM / IW3C2, (2020)Field-aware probabilistic embedding neural network for CTR prediction., , , , , , and . RecSys, page 412-416. ACM, (2018)