On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems

On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems

Over the years, the success of recommender systems has become remarkable. Due to the massive arrival of options that a consumer can have at his/her reach, a collaborative environment was generated, where users from all over the world seek and share their opinions based on all types of products. Spec...

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Bibliographic Details
Main Authors: Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Proceedings
Subjects:
personalized recommendation
image-based recommendation system
feature extraction
convolutional autoencoder
convolutional neural network
data augmentation
Online Access:https://www.mdpi.com/2504-3900/54/1/11

Internet

https://www.mdpi.com/2504-3900/54/1/11

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