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Yun-Shan Ma

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Book Open access Nov 2026

Personalized Context-Conditioned Tokenization for Generative Recommendation

Generative recommendation (GR) represents user actions as sequences of discrete tokens (often referred to as semantic IDs) and predict future interactions through autoregressive generation. This paradigm offers advantages such as compact representations, scalability, and the potential to unify retrieval and ranking. Ho...

Qi-Yong Zhong, Jia-Jie Su, Yun-Shan Ma et al. · 0 citations
#generative ai Book Open access Nov 2026

Toward Efficient Multimodal Recommendation: From Content Understanding to Personalized Generation

Multimodal foundation models and generative AI are transforming recommender systems from ranking existing items into systems that can understand, combine, and generate personalized multimedia content. This keynote presents our recent exploration of this evolution across three important application domains: fashion, mus...

Yun-Shan Ma · 0 citations

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