Taking advantage of images and texts in recommender systems: semantics and explainability
Author:
Subject:
Sistemas de recomendación
Deep Learning
Inteligencia artificial
Redes convolucionales
Publication date:
2020-09
Editorial:
ACM
Publisher version:
Descripción física:
p. 792–796
Description:
ACM Conference on Recommender Systems. RecSys´20 (14th. Virtual Event Brazil. 2020)
ISBN:
978-1-4503-7583-2
Patrocinado por:
This doctoral project is supervised by Assoc. Prof. Oscar Luaces and Assoc. Prof. Jorge Díez. This work was funded under grants TIN2015-65069-C2-2-R and PID2019-109238GB-C21 from the Spanish Ministry of the Economy and Competitiveness, and IDI-2018-000176 from the Principado de Asturias Regional Government, partially supported with ERDF funds. Pablo Pérez-Núñez acknowledges the support of the Principado de Asturias Regional Government under Severo Ochoa Program (ref. BP19-012).
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