Listar por tema "Distance-based models"
Mostrando ítems 1-2 de 2
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An iterative distance-based model for unsupervised weighted rank aggregation
(2019)Rank aggregation is a popular problem that combines different ranked lists from various sources (frequently called voters or judges), and generates a single aggregated list with improved ranking of its items. In this ... -
An unsupervised distance-based model for weighted rank aggregation with list pruning
(2022)Combining multiple ranked lists of items, called voters, into a single consensus list is a popular problem with significant implications in numerous areas, including Bioinformatics, recommendation systems, metasearch ...