Publications
The DSML Team stays involved in the research community, giving talks and publishing papers in order to stay ahead of the technology curve.
2022
Y. Ge, X. Zhao, L. Yu, S. Paul, D. Hu, C. C. Hsieh, and Y. Zhang. Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. In WSDM 2022.
2021
X. Liu, C. Su, A. Barapatre, X. Zhao, D. Hu, C. Hsieh and J. He. Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce. In WWW Knowledge Management in e-Commerce Workshop 2021.
L. Yu, E. Benjamin, C. Su, Y. Fu, J. Eskreis-Winkler, X. Zhao and D. Hu. Personalization in E-commerce Product Search by User-Centric Ranking. In WWW Knowledge Management in e-Commerce Workshop 2021. Poster.
C. Xu, R. Louca and K. Ni. Contextual matching via graph representation learning with side information. In Applications of Machine Learning 2021, vol. 11843. International Society for Optics and Photonics, 2021.
G. Anand, S. Wang, and K. Ni. Large-scale visual search and similarity for e-commerce. Applications of Machine Learning 2021. Vol. 11843. International Society for Optics and Photonics, 2021
2020
A. Stanton, A. Ananthram, C. Su and L. Hong. Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces. In SIGIR eCom 2020.
Z. Wang, X. Yin, T. Li, and L. Hong. Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments. In KDD 2020.
R. Guo, X. Zhao, A. Henderson, L. Hong, H. Liu. Debiasing Grid-based Product Search in E-commerce. In KDD 2020.
E. Yildiz (Google), J. Safyan (Google), M. Harper (Google). User Sentiment as a Success Metric: Persistent Biases Under Full Randomization. In KDD 2020.
A. Stanton, A. Ananthram, P. Crespo. Evolving Multi-Objective Ranking Models For GMV Optimization in E-Commerce. In GECCO 2020.
M. Tanjim, C. Su, E. Benjamin, D. Hu, L. Hong and J. McAuley. Attentive Sequential Models of Latent Intent for Next Item Recommendation. In WWW 2020.
X. Zhao, R. Louca, D. Hu, and L. Hong. The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings. WWW 2020 Companion (ECNLP2 Workshop)
J. Wang, R. Louca, D. Hu, C. Cellier, J. Caverlee, and L. Hong. Time to Shop for Valentine’s Day: Shopping Occasions and Sequential Recommendation in E-commerce. In WSDM 2020.
2019
R. Louca, M. Bhattacharya, D. Hu, L. Hong. Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. RMSE at Recsys 2019.
X. Yin and L. Hong. The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis. In KDD 2019.
H. Jiang, A. Sabharwal, A. Henderson, D. Hu and L. Hong. Understanding the Role of Style in E-commerce Shopping. In KDD 2019.
X. Zhao, R. Louca, D. Hu and L. Hong. Learning Item-Interaction Embeddings for User Recommendations. DAPA at WSDM 2019.
N. Ju, D. Hu, A. Henderson and L. Hong. A Sequential Test for Selecting the Better Variant – Online A/B testing, Adaptive Allocation, and Continuous Monitoring. In WSDM 2019.
2018
D. Hu, R. Louca, L. Hong and J. McAuley. Learning Within-Session Budgets from Browsing Trajectories. In RecSys 2018.
L. Wu, D. Hu, L. Hong and H. Liu. Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. In SIGIR 2018.
A. Stanton, L. Hong and M. Rajashekhar. Buzzsaw: A System for High Speed Feature Engineering. In SysML 2018.
2017 & Before
K. Aryafar, D. Guillory and L. Hong. An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. In AdKDD & TargetAd 2017 workshop, held in conjunction KDD 2017.
C. Lynch, K. Aryafar, and J. Attenberg. Images Don’t Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. In KDD 2016.
R. Hall and J. Attenberg. Fast and Accurate Maximum Inner Product Recommendations on Map-Reduce. In WWW (Companion Volume) 2015.
D. Hu and T. Schneiter. Targeted Content for a Real-Time Activity Feed: For First Time Visitors to Power Users. In WWW (Companion Volume) 2015.
D. Hu, R. Hall and J. Attenberg. Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce. In KDD 2014. (Best Industrial Paper Award)
K. Aryafar, C. Lynch and J. Attenberg. Exploring User Behaviour on Etsy through Dominant Colors. In ICPR 2014.