Scholar
Teng Shi
Google Scholar ID: xJGaI-EAAAAJ
Renmin University of China
Citations & Impact
Citations
142
H-index
9
i10-index
8
Publications
15
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- UniSAR: Modeling User Transition Behaviors between Search and Recommendation, SIGIR 2024, CCF A
- Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation, SIGIR 2025, CCF A
- GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval, RecSys 2025, CCF B
- Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation, CIKM 2025, CCF B
- Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation, TKDE 2024, CCF A (Co-first authors with Xiao Zhang)
Background
- Research interests include recommender systems, information retrieval, and large language models (LLMs), with a particular focus on the joint modeling of search and recommendation. Broadly interested in building intelligent systems that understand user intent and enable personalized, context-aware information access.
