Professional Network Matters: Connections Empower Person-Job Fit
Large Language Models for Data Aumgnetation in Recommendation
Professional Network Matters: Connections Empower Person-Job Fit
Large Language Models for Data Aumgnetation in Recommendation
Ranking with Long-Term Constraints
Long-Term Value of Exploration: Measurements, Findings and Algorithms
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
Ranking with Long-Term Constraints
Long-Term Value of Exploration: Measurements, Findings and Algorithms
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models
WSDMこういう系の毎年見る気がする
WSDMこういう系の毎年見る気がする
MSのいつものところ
MSのいつものところ