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REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths., , , , , , , , , and . NeurIPS, (2023)Counterfactual Data-Augmented Sequential Recommendation., , , , , , and . SIGIR, page 347-356. ACM, (2021)A survey on large language model based autonomous agents., , , , , , , , , and 3 other author(s). Frontiers Comput. Sci., 18 (6): 186345 (December 2024)RecAgent: A Novel Simulation Paradigm for Recommender Systems., , , , , , and . CoRR, (2023)RecBole 2.0: Towards a More Up-to-Date Recommendation Library., , , , , , , , , and 9 other author(s). CIKM, page 4722-4726. ACM, (2022)Recommendation with Causality enhanced Natural Language Explanations., , , , , , and . WWW, page 876-886. ACM, (2023)Sequential Recommendation with User Evolving Preference Decomposition., , , , , and . SIGIR-AP, page 253-263. ACM, (2023)Recommendation with Dynamic Natural Language Explanations., , , , and . IJCNN, page 1-8. IEEE, (2023)Active Explainable Recommendation with Limited Labeling Budgets., , , , , , and . ICASSP, page 5375-5379. IEEE, (2024)REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation., , , , , , , , and . CoRR, (2023)