All Stories

  1. Large Language Models as Data Augmenters for Cold-Start Item Recommendation

    Article • May 2024, ACM (Association for Computing Machinery)

    Ed H Chi

  2. Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems

    Article • May 2024, ACM (Association for Computing Machinery)

    Shuchao Bi, Ed H Chi

  3. Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses

    Article • May 2024, ACM (Association for Computing Machinery)

    Ed H Chi, Ariel Liu

  4. Long-Term Value of Exploration: Measurements, Findings and Algorithms

    Article • March 2024, ACM (Association for Computing Machinery)

    Ed H Chi, Shuchao Bi

  5. Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation

    Article • October 2023, ACM (Association for Computing Machinery)

    Shuchao Bi, Ed H Chi, Qingyun Liu

  6. Online Matching: A Real-time Bandit System for Large-scale Recommendations

    Article • September 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  7. Efficient Data Representation Learning in Google-scale Systems

    Article • September 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  8. Improving Training Stability for Multitask Ranking Models in Recommender Systems

    Article • August 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  9. Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)

    Article • August 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  10. Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

    Article • August 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  11. HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer

    Article • July 2023, ACM (Association for Computing Machinery)

    Ed H Chi, Huan LIu

  12. Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems

    Article • April 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  13. Latent User Intent Modeling for Sequential Recommenders

    Article • April 2023, ACM (Association for Computing Machinery)

    Ed H Chi

  14. Off-Policy Actor-critic for Recommender Systems

    Article • September 2022, ACM (Association for Computing Machinery)

    Ed H Chi

  15. Surrogate for Long-Term User Experience in Recommender Systems

    Article • August 2022, ACM (Association for Computing Machinery)

    Ed H Chi

  16. Distributionally-robust Recommendations for Improving Worst-case User Experience

    Article • April 2022, ACM (Association for Computing Machinery)

    Ed H Chi

  17. Learning to Augment for Casual User Recommendation

    Article • April 2022, ACM (Association for Computing Machinery)

    Ed H Chi

  18. Can Small Heads Help? Understanding and Improving Multi-Task Generalization

    Article • April 2022, ACM (Association for Computing Machinery)

    Ed H Chi

  19. Multi-Resolution Attention for Personalized Item Search

    Article • February 2022, ACM (Association for Computing Machinery)

    Ed H Chi

  20. Self-supervised Learning for Large-scale Item Recommendations

    Article • October 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  21. Values of User Exploration in Recommender Systems

    Article • September 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  22. Learning to Embed Categorical Features without Embedding Tables for Recommendation

    Article • August 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  23. Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

    Article • August 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  24. Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective

    Article • July 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  25. DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

    Article • April 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  26. Towards Content Provider Aware Recommender Systems

    Article • April 2021, ACM (Association for Computing Machinery)

    Ed H Chi, Ruohan Zhan

  27. A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation

    Article • April 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  28. User Response Models to Improve a REINFORCE Recommender System

    Article • March 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  29. Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems

    Article • March 2021, ACM (Association for Computing Machinery)

    Ed H Chi

  30. Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval

    Article • October 2020, ACM (Association for Computing Machinery)

    Ed H Chi, Ritesh Agarwal, Alex Soares

  31. Deconfounding User Satisfaction Estimation from Response Rate Bias

    Article • September 2020, ACM (Association for Computing Machinery)

    Ed H Chi

  32. End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms

    Article • April 2020, ACM (Association for Computing Machinery)

    Ed H Chi

  33. Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations

    Article • April 2020, ACM (Association for Computing Machinery)

    Ed H Chi, XIAOMING WANG

  34. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems

    Article • April 2020, ACM (Association for Computing Machinery)

    Ed H Chi

  35. Off-policy Learning in Two-stage Recommender Systems

    Article • April 2020, ACM (Association for Computing Machinery)

    Ed H Chi

  36. Recommending what video to watch next

    Article • September 2019, ACM (Association for Computing Machinery)

    Ed H Chi

  37. Sampling-bias-corrected neural modeling for large corpus item recommendations

    Article • September 2019, ACM (Association for Computing Machinery)

    Ed H Chi

  38. Quantifying Long Range Dependence in Language and User Behavior to improve RNNs

    Article • July 2019, ACM (Association for Computing Machinery)

    Ed H Chi

  39. Fairness in Recommendation Ranking through Pairwise Comparisons

    Article • July 2019, ACM (Association for Computing Machinery)

    Ed H Chi

  40. Towards Neural Mixture Recommender for Long Range Dependent User Sequences

    Article • May 2019, ACM (Association for Computing Machinery)

    Ed H Chi

  41. Top-K Off-Policy Correction for a REINFORCE Recommender System

    Article • January 2019, ACM (Association for Computing Machinery)

    Ed H Chi

  42. Practical Diversified Recommendations on YouTube with Determinantal Point Processes

    Article • October 2018, ACM (Association for Computing Machinery)

    Ed H Chi

  43. Q&R

    Article • July 2018, ACM (Association for Computing Machinery)

    Ed H Chi

  44. Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

    Article • July 2018, ACM (Association for Computing Machinery)

    Ed H Chi

  45. Evaluation and Refinement of Clustered Search Results with the Crowd

    Article • ACM Transactions on Interactive Intelligent Systems, July 2018, ACM (Association for Computing Machinery)

    Ed H Chi

  46. The Case for Learned Index Structures

    Article • May 2018, ACM (Association for Computing Machinery)

    Ed H Chi

  47. Latent Cross

    Article • February 2018, ACM (Association for Computing Machinery)

    Ed H Chi

  48. Design for Searching & Finding

    Article • April 2015, ACM (Association for Computing Machinery)

    Ed H Chi