2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.IR2025
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
Lingyu Mu, Hao Deng, Haibo Xing +7
The integration of large language models (LLMs) into recommendation systems has revealed promising potential through their capacity to extract world knowledge for enhanced reasonin…
cs.IR2025★ 2 cited
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
Haibo Xing, Kanefumi Matsuyama, Hao Deng +3
Industrial recommendation systems typically involve a two-stage process: retrieval and ranking, which aims to match users with millions of items. In the retrieval stage, classic em…