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Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation.

, , , , , and . WWW, page 837-847. ACM / IW3C2, (2020)

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Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity., , , , and . ICDM, page 160-169. IEEE, (2019)Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification., , , , , and . ICDM, page 757-766. IEEE, (2021)Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation., , , , , and . WWW, page 837-847. ACM / IW3C2, (2020)A New Framework for Traffic Anomaly Detection., , , , , , , , , and . SDM, page 875-883. SIAM, (2014)User Preference Learning with Multiple Information Fusion for Restaurant Recommendation., , , , and . SDM, page 470-478. SIAM, (2014)Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting., , , , , and . KDD, page 547-555. ACM, (2021)Modeling of Geographic Dependencies for Real Estate Ranking., , , , , and . ACM Trans. Knowl. Discov. Data, 11 (1): 11:1-11:27 (2016)Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification., , , , , , , and . CoRR, (2022)Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization., , , , , , and . CoRR, (2023)Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model., , , , , and . SDM, page 135-143. SIAM, (2016)