collaborative filtering 1food delivery recommendation 1graph neural networks 1large language models 1multi-agent re-ranking 1
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cs.IR2026
MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation
Jiahao Tian, Zhenkai Wang
The paper presents MARS, a modular multi‑agent framework that combines large language model reasoning with lightweight collaborative retrieval and geospatial filtering to re‑rank r…
cs.IR2025
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
Jiahao Tian, Zhenkai Wang
Modern recommender systems struggle to effectively utilize the rich, yet high-dimensional and noisy, multi-modal features generated by Large Language Models (LLMs). Treating these…
cs.IR2024
Data Imputation using Large Language Model to Accelerate Recommendation System
Zhicheng Ding, Jiahao Tian, Zhenkai Wang +2
This paper aims to address the challenge of sparse and missing data in recommendation systems, a significant hurdle in the age of big data. Traditional imputation methods struggle…