2 papers
cs.IR2026
Query-Mixed Interest Extraction and Heterogeneous Interaction: A Scalable CTR Model for Industrial Recommender Systems
Fangye Wang, Guowei Yang, Xiaojiang Zhou +2
Learning effective feature interactions is central to modern recommender systems, yet remains challenging in industrial settings due to sparse multi-field inputs and ultra-long use…
cs.IR2026
GeoGR: A Generative Retrieval Framework for Spatio-Temporal Aware POI Recommendation
Fangye Wang, Haowen Lin, Yifang Yuan +4
Next Point-of-Interest (POI) prediction is a fundamental task in location-based services, especially critical for large-scale navigation platforms like AMAP that serve billions of…