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Sheng Zhang

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Book Open access Aug 2026

Tutorial on Generative Recommendation: Foundations and Frontiers

This work comprehensively surveys recent generative recommendation advances through a tri-decoupled perspective, summarize the evolution of tokenization strategies, analyze the trade-offs of major generative architectures, and summarize the transition from supervised next-token prediction to reinforcement-learning-base...

Xiao-Peng Li, Yejing Wang, Hong-Hui Bao et al. · 0 citations
Book Open access Aug 2026

Tutorial on Generative Recommendation: Foundations and Frontiers

In the current digital ecosystem, recommender systems serve as the core infrastructure for navigating large-scale content catalogs and delivering personalized services, typically following multi-stage discriminative pipelines (e.g., retrieval, ranking, and re-ranking). However, their fragmented architectures cause casc...

Xiaopeng Li, Yejing Wang, Honghui Bao et al. · 0 citations

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