A Survey of Deep Learning Approaches for Recommendation Systems

Due to the explosive information, recommendation system has been an important part of people's life. It can suggest or predict information based on the user's preference to help user save time. As deep learning develops, the application of deep neural network in related research is increas...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1087; no. 6; pp. 62022 - 62028
Main Author Liu, Jun Yi
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.09.2018
Subjects
Artificial neural networks
Deep learning
Machine learning
Physics
Recommender systems
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Summary:Due to the explosive information, recommendation system has been an important part of people's life. It can suggest or predict information based on the user's preference to help user save time. As deep learning develops, the application of deep neural network in related research is increasingly prevalent. This paper provides a survey of recommendation systems, which focuses on deep learning approaches and the system of applications. The detailed description of each recommendation system is explained, and the related datasets are briefly introduced. In this paper, all references are published ranging from 2014 to 2017, which presents an overview of the current progress in this area.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1087/6/062022