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cs.IR2026
ToolRec: Calibrated Preference Alignment for Query Recommendation in On-Device Assistants
Zihan Luo, Lingkui Chen, Ruike Zhang +5
Large Language Models (LLMs) have significantly advanced generative query recommendation. However, while alignment is crucial for tailoring LLMs to human preferences, existing alig…
cs.IR2025
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
Yongchun Zhu, Jingwu Chen, Ling Chen +4
Feature modeling, which involves feature representation learning and leveraging, plays an essential role in industrial recommendation systems. However, the data distribution in rea…
cs.IR2024
Interest Clock: Time Perception in Real-Time Streaming Recommendation System
Yongchun Zhu, Jingwu Chen, Ling Chen +3
User preferences follow a dynamic pattern over a day, e.g., at 8 am, a user might prefer to read news, while at 8 pm, they might prefer to watch movies. Time modeling aims to enabl…