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Ying-Hao Wu

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Book Open access Aug 2026

GUIDER: Generative User Interest Discovery via Explicit Reasoning with Large Language Models

This work proposes GUIDER (Generative User Interest Discovery & Explicit Reasoning), a framework that fundamentally decouples intent planning from item matching by reformulating sequential modeling within a rigorous closed-set semantic interest space.

Jin-Ke Wu, Ying-Hao Wu, Shuchang Liu et al. · 0 citations
Book Open access Aug 2026

GUIDER: Generative User Interest Discovery via Explicit Reasoning with Large Language Models

The emergence of Large Language Models (LLMs) has driven a paradigm shift in sequential recommendation from discriminative ranking to generative modeling. However, existing generative approaches predominantly rely on semantic IDs (SIDs)—discrete identifiers derived from hierarchical quantization that function as semant...

Jinke Wu, Yinghao Wu, Shuchang Liu et al. · 0 citations

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