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PhD student in CSE at HKUST. Research on session-based recommendation, data mining, and machine learning.
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SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
Published in ICDM 2024 (Regular Paper), 2024
Identifies the overlooked low-capability predictor in encoder–predictor session-based recommenders and introduces a pluggable high-capability predictor add-on that mitigates random user behavior and consistently boosts existing models.
Citation: R. Wang, R. C.-W. Wong, and W. Tan, “SR-PredictAO: Session-Based Recommendation with High-Capability Predictor Add-On,” 2024 IEEE International Conference on Data Mining (ICDM), pp. 480–489, Dec. 2024, doi: 10.1109/ICDM59182.2024.00055.