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FUIR: Fusing user and item information to deal with data sparsity by using side information in recommendation systems.

Jianwei NiuLei WangXiting LiuShui Yu
Published in: J. Netw. Comput. Appl. (2016)
Keyphrases
  • recommendation systems
  • collaborative filtering
  • information overload
  • information sources
  • social networks
  • prior knowledge
  • user interaction
  • user interface
  • user preferences
  • recommendation quality