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

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

e loss on training data and the Expected reciprocal rank (Err@20) and

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Factorization Machines for Item Recommendation with Implicit Feedback Data, by Eric Lundquist

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

Frontiers Applying precision medicine principles to the management of multimorbidity: the utility of comorbidity networks, graph machine learning, and knowledge graphs

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

Functional microRNA-targeting drug discovery by graph-based deep learning - ScienceDirect

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

ISO/IEC/IEEE 24765:2017(en), Systems and software engineering — Vocabulary