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Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection.

, , , , , and . IEEE Access, (2016)

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Online trendy topics detection in microblogs with selective user monitoring under cost constraints., , , , , , and . ICC, page 1194-1200. IEEE, (2015)An alarm prediction framework for financial IT system using hybrid machine learning methods., , , , , , and . CoRR, (2019)Online Topic Detection and Tracking System and Its Application on Stock Market in China., , , , , , , and . CCIR, volume 12285 of Lecture Notes in Computer Science, page 137-148. Springer, (2020)Discovering the Trading Pattern of Financial Market Participants: Comparison of Two Co-Clustering Methods., , , , , and . IEEE Access, (2018)User and Topic Hybrid Context Embedding for Finance-Related Text Data Mining., , , and . ICDM Workshops, page 751-760. IEEE, (2019)Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification., , , , , , , and . COLING, page 6827-6836. International Committee on Computational Linguistics, (2022)Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection., , , , , and . IEEE Access, (2016)Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging., , , , , , and . ACM Trans. Inf. Syst., 35 (3): 18:1-18:36 (2017)An anomaly prediction framework for financial IT systems using hybrid machine learning methods., , , , , , and . J. Ambient Intell. Humaniz. Comput., 14 (11): 15277-15286 (2023)Long-term Forecasting of Risk Indicators for Chinese Financial Derivatives Market Based on Seasonal-trend Decomposition and Sub-components Modeling., , , , and . ICMLC, page 557-561. ACM, (2023)