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Context-Guided Learning to Rank Entities

We propose a method for learning entity orders, for example, safety, popularity, and livability orders of countries. We train linear functions by using samples of ordered entities as training data, and attributes of entities as features. An example of such functions is f(Entity) [Formula: see text]...

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Detalles Bibliográficos
Autores principales: Kato, Makoto P., Imrattanatrai, Wiradee, Yamamoto, Takehiro, Ohshima, Hiroaki, Tanaka, Katsumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148248/
http://dx.doi.org/10.1007/978-3-030-45439-5_6

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