Ruining He
Publications by Year
Research Areas
Recommender Systems and Techniques, Topic Modeling, Image Retrieval and Classification Techniques, Advanced Graph Neural Networks, Natural Language Processing Techniques
Most-Cited Works
- → Ups and Downs(2016)1,362 cited
- → VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback(2016)915 cited
- → Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation(2016)695 cited
- → Translation-based Recommendation(2017)421 cited
- → Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering(2016)203 cited
- → Learning Compatibility Across Categories for Heterogeneous Item Recommendation(2016)90 cited
- → RealFormer: Transformer Likes Residual Attention(2021)79 cited
- → SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation(2017)46 cited