ArXiv TLDR

Zhong Ming

2 papers · Latest:

Information Retrieval

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment

HSUGA improves LLM-enhanced recommendations by using hierarchical semantic understanding and group-aware alignment for better user preference modeling.

2605.11662
Information Retrieval

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation

A new framework, BDPL, improves heterogeneous sequential recommendation by using behavior-aware subgraphs and dual-channel preference learning to handle sparse data.

2604.14581

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