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Lichan Hong — most-cited papers & profile · Recommender Systems
← authors
·
overview
Lichan Hong
21
papers ·
460
citations ·
36
h-index
Google (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Wide & Deep Learning for Recommender Systems
2016 · 263 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
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
2023 · 24 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
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
2024 · 4 citations
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
2025 · 1 citations
STAR: A Simple Training-free Approach for Recommendations using Large Language Models
2024 · 1 citations
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
2022 · 1 citations
LLM-Based User Personas for Recommendations at Scale
2026
Top co-authors
Ed H. Chi
· 12
Xinyang Yi
· 9
Derek Zhiyuan Cheng
· 5
Maheswaran Sathiamoorthy
· 4
Nikhil Mehta
· 4
Lukasz Heldt
· 3
Minmin Chen
· 3
Tiansheng Yao
· 3
Anima Singh
· 2
Ed Chi
· 2
Haokai Lu
· 2
Maciej Kula
· 2
Topics
Collaborative Filtering
Ranking & CTR
LLM-based
Two-Tower & Retrieval
Cold Start & Cross-Domain
Sequential & Session