Semantics-Aware Autoencoder

Semantics-Aware Autoencoder

Recommender Systems are widely adopted in nowadays services such as e-commerce websites, multimedia streaming platforms, and many others. They help users to find what they are looking for by suggesting relevant items leveraging their past preferences. Deep Learning models are very effective in solvi...

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Bibliographic Details
Main Authors: Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Autoencoder neural network
cold start problem
deep learning
explanation
knowledge graph
recommender system
Online Access:https://ieeexplore.ieee.org/document/8897546/

Internet

https://ieeexplore.ieee.org/document/8897546/

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