D. Hu

发表

Latent Dirichlet Allocation for Text

D. Hu, 2009 .

A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring

Liangjie Hong, Nianqiao Ju, Adam Henderson, 2019, WSDM.

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development

Sorin Lerner, Lawrence K. Saul, Laurens van der Maaten, 2010, NIPS.

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce

James Caverlee, Liangjie Hong, Jianling Wang, 2020, WSDM.

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce

Huan Liu, Liang Wu, Liangjie Hong, 2018, SIGIR.

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning

Chu-Cheng Hsieh, Xiaoting Zhao, Yingqiang Ge, 2022, WSDM.

Attentive Sequential Models of Latent Intent for Next Item Recommendation

Liangjie Hong, Julian McAuley, Diane Hu, 2020, WWW.

10 th International Society for Music Information Retrieval Conference ( ISMIR 2009 ) A PROBABILISTIC TOPIC MODEL FOR UNSUPERVISED LEARNING OF MUSICAL KEY-PROFILES

Lawrence K. Saul, Diane Hu, L. Saul, 2009 .

Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce

Liangjie Hong, Moumita Bhattacharya, Raphael Louca, 2019, RMSE@RecSys.

Learning within-session budgets from browsing trajectories

Liangjie Hong, Julian J. McAuley, Raphael Louca, 2018, RecSys.

Learning Item-Interaction Embeddings for User Recommendations pdf

Liangjie Hong, Xiaoting Zhao, Raphael Louca, 2018, ArXiv.

Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce

Rob Hall, Josh Attenberg, Diane J. Hu, 2014, KDD.

Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce

Chu-Cheng Hsieh, D. Hu, Jingrui He, 2021, IEEE Data Eng. Bull..