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cs.IR2026
Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation
Luankang Zhang, Yonghao Huang, Hang Lv +6
Chain-of-Thought (CoT) reasoning is widely used to improve LLM performance, and recent foundation recommender models adopt it by generating textual reasoning before predicting targ…
cs.IR2025
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking
Shigang Quan, Hailong Tan, Shui Liu +5
Online Travel Platforms (OTPs) have been working on improving their hotel Search & Ranking (S&R) systems that facilitate efficient matching between consumers and hotels. Existing O…
cs.IR2023
Modeling User Viewing Flow Using Large Language Models for Article Recommendation
Zhenghao Liu, Zulong Chen, Moufeng Zhang +6
This paper proposes the User Viewing Flow Modeling (SINGLE) method for the article recommendation task, which models the user constant preference and instant interest from user-cli…