| Generalized and scalable optimal sparse decision trees J Lin, C Zhong, D Hu, C Rudin, M Seltzer International Conference on Machine Learning, 6150-6160, 2020 | 186 | 2020 |
| Toward Robust Material Recognition for Everyday Objects. D Hu, L Bo, X Ren BMVC 2, 6, 2011 | 119 | 2011 |
| Turning clicks into purchases: Revenue optimization for product search in e-commerce L Wu, D Hu, L Hong, H Liu The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 116 | 2018 |
| Attentive sequential models of latent intent for next item recommendation MM Tanjim, C Su, E Benjamin, D Hu, L Hong, J McAuley Proceedings of The Web Conference 2020, 2528-2534, 2020 | 93 | 2020 |
| A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles. D Hu, LK Saul ISMIR, 441-446, 2009 | 91 | 2009 |
| Toward Pareto efficient fairness-utility trade-off in recommendation through reinforcement learning Y Ge, X Zhao, L Yu, S Paul, D Hu, CC Hsieh, Y Zhang Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 76 | 2022 |
| Latent dirichlet allocation for text, images, and music DJ Hu University of California, San Diego 26, 2013, 2009 | 69 | 2009 |
| Style in the long tail: Discovering unique interests with latent variable models in large scale social e-commerce DJ Hu, R Hall, J Attenberg Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 50 | 2014 |
| Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce J Wang, R Louca, D Hu, C Cellier, J Caverlee, L Hong Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 42 | 2020 |
| A probabilistic topic model for music analysis DJ Hu, LK Saul Proc. of NIPS 9, 2009 | 25 | 2009 |
| A sequential test for selecting the better variant: Online a/b testing, adaptive allocation, and continuous monitoring N Ju, D Hu, A Henderson, L Hong Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 24 | 2019 |
| Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. R Louca, M Bhattacharya, D Hu, L Hong RMSE@ RecSys, 2019 | 20 | 2019 |
| Learning item-interaction embeddings for user recommendations X Zhao, R Louca, D Hu, L Hong arXiv preprint arXiv:1812.04407, 2018 | 10 | 2018 |
| Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation CC Cheng, DJ Hu, LK Saul 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 10 | 2008 |
| Understanding the role of style in e-commerce shopping H Jiang, A Sabharwal, A Henderson, D Hu, L Hong Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 9 | 2019 |
| Learning within-session budgets from browsing trajectories D Hu, R Louca, L Hong, J McAuley Proceedings of the 12th ACM Conference on Recommender Systems, 432-436, 2018 | 9 | 2018 |
| The difference between a click and a cart-add: learning interaction-specific embeddings X Zhao, R Louca, D Hu, L Hong Companion Proceedings of the Web Conference 2020, 454-460, 2020 | 8 | 2020 |
| Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.(2018) L Wu, D Hu, L Hong, H Liu | 5 | 2018 |
| Latent variable models for predicting file dependencies in large-scale software development D Hu, L Maaten, Y Cho, S Lerner, L Saul Advances in Neural Information Processing Systems 23, 2010 | 5 | 2010 |
| Real-Time Personalized Ranking in E-commerce Search L Yu, E Benjamin, C Su, Y Fu, J Eskreis-Winkler, X Zhao, D Hu ECommerce Workshop at SIGIR, 2021 | 2 | 2021 |