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Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

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An Empirical Study on Recommendation with Multiple Types of Feedback

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Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

Yiming Zhang, Lingfei Wu, Qi Shen, +5

Proceedings of the ACM Web Conference 2022

Natural Language ProcessingEngineeringInformation RetrievalMachine LearningData Science +13

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems

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Meta Policy Learning for Cold-Start Conversational Recommendation

Zhendong Chu, Hongning Wang, Yun Xiao, +2

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Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning

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Frontiers in Cardiovascular Medicine

Memory-efficient Embedding for Recommendations

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arXiv (Cornell University)

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