10 citations · 26 across the 19 of their papers we have counts for
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cs.IR2025
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
Jiacheng Hu, Tai An, Zidong Yu +2
This paper proposes a cold start recommendation model that integrates contrastive learning, aiming to solve the problem of performance degradation of recommendation systems in cold…
cs.IR2024★ 1 cited
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Wenyi Liu, Ziqi Zhang, Xinshi Li +3
This paper addresses key challenges in enhancing recommendation systems by leveraging Graph Neural Networks (GNNs) and addressing inherent limitations such as over-smoothing, which…
cs.IR2024★ 2 cited
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
Jiajing Chen, Runyuan Bao, Hongye Zheng +3
This study aims to improve the accuracy and quality of large-scale language models (LLMs) in answering questions by integrating Elasticsearch into the Retrieval Augmented Generatio…