Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

A context-aware recommender system can make recommendations to users by considering contextual information such as time and place, not only the scores assigned to items by users. However, as a user preferences matrix is expanded in a multidimensional matrix, data sparsity is maximized. In this paper...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Soo-Yeon Jeong, Young-Kuk Kim
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Subjects:
recommender systems
context-aware
deep learning
autoencoder
neural network
Online Access:https://www.mdpi.com/2076-3417/12/1/45

Internet

https://www.mdpi.com/2076-3417/12/1/45

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