Papers
Curated list of key papers for the tutorial — from raw IDs to semantic IDs. Search and filter by tag.
Wide & Deep Learning for Recommender Systems
Foundational Raw IDsImage-Based Recommendations on Styles and Substitutes
Benchmark Amazon Reviews datasetRecommender Systems with Generative Retrieval (TIGER)
Method GenerativeBetter Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Application DiscriminativeQARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
Application Industry deploymentEnhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
Application Industry deploymentDAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
Application Industry deploymentEmpowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
Method Collaborative signalsBeyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics
Method MultimodalityFusID: Modality-Fused Semantic IDs for Generative Music Recommendation
Method MultimodalityGenerative Multi-Target Cross-Domain Recommendation
Method Cross-domainFrom IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
Method Cross-domainSemantic IDs for Joint Generative Search and Recommendation
Method Cross-task unificationMore papers TBD
Maintained by Roger Zhe Li — Last updated: 2026