Dawen Liang
Netflix (United States)(US)
Publications by Year
Research Areas
Recommender Systems and Techniques, Music and Audio Processing, Topic Modeling, Speech and Audio Processing, Music Technology and Sound Studies
Most-Cited Works
- → librosa: Audio and Music Signal Analysis in Python(2015)2,840 cited
- → Variational Autoencoders for Collaborative Filtering(2018)1,261 cited
- → Modeling User Exposure in Recommendation(2016)375 cited
- → Mir_Eval: A Transparent Implementation Of Common Mir Metrics.(2014)281 cited
- → Factorization Meets the Item Embedding(2016)247 cited
- → Edward: A library for probabilistic modeling, inference, and criticism(2016)221 cited
- → Deep learning for recommender systems: A Netflix case study(2021)148 cited
- → Causal Inference for Recommender Systems(2020)129 cited
- → Large Language Models as Zero-Shot Conversational Recommenders(2023)107 cited
- → Content-Aware Collaborative Music Recommendation Using Pre-Trained Neural Networks.(2015)66 cited