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Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation., , , , , , , и . CoRR, (2023)Continual Graph Convolutional Network for Text Classification., , , , , и . AAAI, стр. 13754-13762. AAAI Press, (2023)Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization., , , , и . WWW, стр. 3521-3532. ACM, (2024)Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision., , , и . ECIR (1), том 14608 из Lecture Notes in Computer Science, стр. 123-139. Springer, (2024)Discrete Semantic Tokenization for Deep CTR Prediction., , , , , и . WWW (Companion Volume), стр. 919-922. ACM, (2024)Making Multimodal Generation Easier: When Diffusion Models Meet LLMs., , , , и . CoRR, (2023)FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation., , , , , и . WWW, стр. 3309-3318. ACM, (2023)Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation., , , и . COLING, стр. 2823-2833. International Committee on Computational Linguistics, (2022)Benchmarking News Recommendation in the Era of Green AI., , , и . WWW (Companion Volume), стр. 971-974. ACM, (2024)Dataset Condensation for Recommendation., , , , , , и . CoRR, (2023)