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Cold-start item recommendation for representation learning based on heterogeneous information networks with fusion side information.

Meizi LiWeiqiao QueZiyao GengMaozhen LiZuliang KouJisheng ChenChang GuoBo Zhang
Published in: Future Gener. Comput. Syst. (2023)
Keyphrases
  • user interaction
  • contextual information
  • cold start
  • reinforcement learning
  • keywords
  • recommender systems
  • multiple types
  • implicit feedback
  • information networks
  • item recommendation