Author

Yifang Yuan

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Preprint Sep 2026

SPAR: Enhancing Industrial-Scale Generative POI Recommendation via Real-World Spatial Perception

Spatially-Intrinsic SID (SI-SID), a unified framework whose three synergistic stages jointly construct, cultivate, and preserve urban spatial knowledge, is proposed, which demonstrates the effectiveness of SPAR.

Fang-Ye Wang, Yun-Jin Gu, Haowen Lin et al. · 0 citations

#reinforcement learning Preprint Jul 2026

Guess Where You Go: Generative Next Point-of-Interest Recommendation in Amap

Gwhere is proposed, an end-to-end industrial framework that integrates semantic identifier (SID) generation with LLM-based generative next POI recommendation and adapts LLMs to mobility scenarios via continued pretraining on enriched spatio-temporal corpora, supervised fine-tuning, and Exposure-Aware Kahneman-Tversky O...

Penglong Zhai, Bowen Zheng, Jie Li et al. · 0 citations