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Budan Wu

2 accepted papers

2025

DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation

AAAI 2025technical

In recent years, there has been a burgeoning interest in multimodal recommender systems within the recommendation systems domain. These systems aim to understand user preferences by leveraging both user interaction data and multimodal information associated with items. This approach frequently resul…

Cited by 0SourcePDFScholar
2025

ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models

AAAI 2025technical

Multi-criteria decision making (MCDM) and preference learning (PL) are crucial subfields of intelligent decision-making, both aiming to aid decision-makers (DMs) in selecting, classifying, or ranking alternatives. While MCDM and PL can complement each other to some extent, existing approaches combin…

Cited by 0SourcePDFScholar