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Top-aware reinforcement learning based recommendation., , , , , and . Neurocomputing, (2020)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)Numerical Feature Representation with Hybrid N-ary Encoding., , , , , , , , , and . CIKM, page 2984-2993. ACM, (2022)GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems., , , , , and . CIKM, page 2861-2868. ACM, (2020)Accepted Tutorials at The Web Conference 2022., , , , , , , , , and 63 other author(s). WWW (Companion Volume), page 391-399. ACM, (2022)Embedding Compression in Recommender Systems: A Survey., , , , , , and . ACM Comput. Surv., 56 (5): 130:1-130:21 (May 2024)Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction., , , , , and . WWW, page 1119-1129. ACM, (2019)Compressed Interaction Graph based Framework for Multi-behavior Recommendation., , , , , , , , , and 1 other author(s). WWW, page 960-970. ACM, (2023)Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction., , , , , , and . ICDE, page 1450-1462. IEEE, (2022)