All Stories

  1. Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators

    Article • August 2026, ACM (Association for Computing Machinery)

    Ed H Chi

  2. PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations

    Article • April 2026, ACM (Association for Computing Machinery)

    Ed H Chi, Nikhil Mehta

  3. The Future of Personalized Universal Assistant

    Article • February 2026, ACM (Association for Computing Machinery)

    Ed H Chi

  4. Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems

    Article • July 2025, ACM (Association for Computing Machinery)

    Ed H Chi

  5. Improving Data Efficiency for Recommenders and LLMs

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

    Noveen Sachdeva, Ed H Chi

  6. Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems

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

    Ed H Chi, Nikhil Khani

  7. Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders

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

    Ed H Chi, Yuan Gao

  8. Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations

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

    Ed H Chi, Nikhil Mehta

  9. Serving Large User Sequence Models in Large Scale Applications

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

    Qingyun Liu, Shuchao Bi, Ed H Chi, Diego Uribe

  10. Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System

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

    Ed H Chi, Shuchao Bi, Qingyun Liu

  11. Multi-Task Neural Linear Bandit for Exploration in Recommender Systems

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

    Shuchao Bi, Ed H Chi

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

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

    Ed H Chi

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

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

    Shuchao Bi, Ed H Chi

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

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

    Ed H Chi, Ariel Liu

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

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

    Ed H Chi, Shuchao Bi

  16. 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

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

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

    Ed H Chi

  18. Efficient Data Representation Learning in Google-scale Systems

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi, Huan LIu

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

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

    Ed H Chi

  24. Latent User Intent Modeling for Sequential Recommenders

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

    Ed H Chi

  25. Off-Policy Actor-critic for Recommender Systems

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

  28. Learning to Augment for Casual User Recommendation

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

    Ed H Chi

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

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

    Ed H Chi

  30. Multi-Resolution Attention for Personalized Item Search

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

    Ed H Chi

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

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

    Ed H Chi

  32. Values of User Exploration in Recommender Systems

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

  36. 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

  37. Towards Content Provider Aware Recommender Systems

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

    Ed H Chi, Ruohan Zhan

  38. 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

  39. User Response Models to Improve a REINFORCE Recommender System

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

    Ed H Chi

  40. 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

  41. 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

  42. Deconfounding User Satisfaction Estimation from Response Rate Bias

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi, XIAOMING WANG

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

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

    Ed H Chi

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

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

    Ed H Chi

  47. Recommending what video to watch next

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

  50. Fairness in Recommendation Ranking through Pairwise Comparisons

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

    Ed H Chi

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

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

    Ed H Chi

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

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

    Ed H Chi

  53. Practical Diversified Recommendations on YouTube with Determinantal Point Processes

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

    Ed H Chi

  54. Q&R

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

    Ed H Chi

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

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

    Ed H Chi

  56. 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

  57. The Case for Learned Index Structures

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

    Ed H Chi

  58. Latent Cross

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

    Ed H Chi

  59. Design for Searching & Finding

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

    Ed H Chi

  60. Instant foodie

    Article • January 2013, ACM (Association for Computing Machinery)

    Ed H Chi