Listar 1. Investigación por autor "Valcarce, Daniel"

Mostrando ítems 1-4 de 4

    • Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost 

      Otero, David; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (M D P I AG, 2019-08-01)
      [Abstract] Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way ...

    • Information retrieval models for recommender systems 

      Valcarce, Daniel (2019)
      [Abstract] Information retrieval addresses the information needs of users by delivering relevant pieces of information but requires users to convey their information needs explicitly. In contrast, recommender systems ...

    • Priors for Diversity and Novelty on Neural Recommender Systems 

      Landin, Alfonso; Valcarce, Daniel; Parapar, Javier; Barreiro, Álvaro (M D P I AG, 2019-07-31)
      [Abstract] PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity ...

    • The Coruña Corpus Tool: Ten years on 

      Barsaglini Castro, Anabella; Valcarce, Daniel (Sociedad Española para el Procesamieno del Lenguaje Natural, 2020-03)
      [Resumen] En este artículo presentamos una breve introducción a una nueva versión del Coruña Corpus Tool. Actualmente disponible para Windows, macOS yLinux, el Coruña Corpus Tool es una herramienta de gestión de corpus que ...