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MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.

, , , , , , , , , , , and . SIGSOFT FSE Companion, page 38-49. ACM, (2024)

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OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models., , , , , , , , , and 5 other author(s). CoRR, (2023)Towards Long-term Fairness in Recommendation., , , , , , , , , and 1 other author(s). WSDM, page 445-453. ACM, (2021)Understanding Echo Chambers in E-commerce Recommender Systems., , , , , , and . SIGIR, page 2261-2270. ACM, (2020)A Multi-Agent Framework for Recommendation with Heterogeneous Sources., , , , , , , , , and . IJCNN, page 1-8. IEEE, (2023)Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph., , , , , , , , and . SIGSOFT FSE Companion, page 50-61. ACM, (2024)Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective., , , , , , , , , and 2 other author(s). CoRR, (2024)Privileged Features Distillation at Taobao Recommendations., , , , , , , , , and . KDD, page 2590-2598. ACM, (2020)Variation Control and Evaluation for Generative Slate Recommendations., , , , and . WWW, page 436-448. ACM / IW3C2, (2021)Value-aware Recommendation based on Reinforcement Profit Maximization., , , , , , , and . WWW, page 3123-3129. ACM, (2019)Personalized re-ranking for recommendation., , , , , , , , , and 1 other author(s). RecSys, page 3-11. ACM, (2019)