Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank

Learning to rank from logged user feedback, such as clicks or purchases, is a central component of many real-world information systems. Different from human-annotated relevance labels, the user fee

DVMM-publications

Expected Reciprocal Rank for Graded Relevance - Don Metzler

Tiered ML ranking improves relevance for the retail search

Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints

GMD - Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications

Electronics, Free Full-Text

Exploring Optimal Reaction Conditions Guided by Graph Neural Networks and Bayesian Optimization

Full article: Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data

HESS - Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts