reviewACM Computing SurveysFeb 25, 2019Closed access

Deep Learning Based Recommender System

UNSW Sydney · Nanyang Technological University

Indexed incrossref

Abstract

With the growing volume of online information, recommender systems have been an effective strategy to overcome information overload. The utility of recommender systems cannot be overstated, given their widespread adoption in many web applications, along with their 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 to 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

1,371
total citations
FWCI
196.05
Percentile
100%
References
217
Citations per year

Authors

4

Topics & keywords

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