Showing cs.IRShow all
3 papers · 1 filter
cs.IR2026
MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation
Jiahao Tian, Zhenkai Wang
Large language models (LLMs) are increasingly used in recommender systems, but it is often unclear how much performance can be obtained from strong pre-trained backbones alone when…
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…