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Ed H. Chi — most-cited papers & profile · Recommender Systems
← authors
·
overview
Ed H. Chi
34
papers ·
717
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Fairness in Recommendation Ranking through Pairwise Comparisons
2019 · 443 citations
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
2019 · 97 citations
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
2020 · 36 citations
Self-supervised Learning for Large-scale Item Recommendations
2020 · 29 citations
Recommender Systems with Generative Retrieval
2023 · 27 citations
Improving Training Stability for Multitask Ranking Models in Recommender Systems
2023 · 9 citations
Online Matching: A Real-time Bandit System for Large-scale Recommendations
2023 · 9 citations
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
2020 · 7 citations
Aligning Large Language Models with Recommendation Knowledge
2024 · 7 citations
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
2024 · 7 citations
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
2021 · 2 citations
Reward Shaping for User Satisfaction in a REINFORCE Recommender
2022 · 2 citations
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
2025 · 1 citations
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
2025 · 1 citations
STAR: A Simple Training-free Approach for Recommendations using Large Language Models
2024 · 1 citations
Top co-authors
Lichan Hong
· 12
Xinyang Yi
· 9
Minmin Chen
· 7
Derek Zhiyuan Cheng
· 5
Lukasz Heldt
· 4
Alex Beutel
· 3
Konstantina Christakopoulou
· 3
Maheswaran Sathiamoorthy
· 3
Tiansheng Yao
· 3
Alex Beutel
· 2
Can Xu
· 2
Fabio Soldo
· 2
Topics
Ranking & CTR
Collaborative Filtering
LLM-based
Sequential & Session
Fairness & Ethics
Two-Tower & Retrieval
Cold Start & Cross-Domain
cs.IR