preprintarXiv (Cornell University)Jul 24, 2017GREEN OA

Deep Learning based Recommender System: A Survey and New Perspectives

UNSW Sydney · Nanyang Technological University

Indexed inarxivdatacite

Abstract

With the ever-growing volume of online information, recommender systems have been an effective strategy to overcome such information overload. The utility of recommender systems cannot be overstated, given its widespread adoption in many web applications, along with its potential impact to ameliorate many problems related to over-choice. In recent years, deep learning has garnered considerable interest in many research fields such as computer vision and natural language processing, owing not only to stellar performance but also the attractive property of learning feature representations from scratch. The influence of deep learning is also pervasive, recently demonstrating its effectiveness when applied to…

Citation impact

656
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References
204
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Authors

4

Topics & keywords

Keywords
  • Recommender system
  • Computer science
  • Deep learning
  • Information overload
  • Flourishing
  • Field (mathematics)
  • Artificial intelligence
  • Data science
UN Sustainable Development Goals
  • Quality Education
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