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Argumentation-based hybrid recommender system for recommending learning objects

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Argumentation-based hybrid recommender system for recommending learning objects

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Rodríguez, P.; Heras Barberá, SM.; Palanca Cámara, J.; Duque, N.; Julian Inglada, VJ. (2016). Argumentation-based hybrid recommender system for recommending learning objects. En Multi-Agent Systems and Agreement Technologies. Springer. 234-248. doi:10.1007/978-3-319-33509-4 19

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/65557

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Title: Argumentation-based hybrid recommender system for recommending learning objects
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
Recommender Systems aim to provide users with search results close to their needs, making predictions of their preferences. In virtual learning environments, Educational Recommender Systems deliver learning objects ...[+]
Subjects: Recommender systems , Learning objects
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-319-33508-7
Source:
Multi-Agent Systems and Agreement Technologies. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-33509-4 19
Publisher:
Springer
Publisher version: http://link.springer.com/chapter/10.1007/978-3-319-33509-4_19
Conference name: 3rd International Conference on Agreement Technologies (AT-2015)
Conference place: Athens, Greece
Conference date: December 17-18, 2015
Series: Lecture Notes in Computer Science;9571
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-33509-4_19
Type: Capítulo de libro Comunicación en congreso

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