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A Method for Dealing with Data Sparsity and Cold-Start Limitations in Service Recommendation Using Personalized Preferences.

Kenneth K. Fletcher
Published in: ICCC (2017)
Keyphrases
  • data sparsity
  • cold start
  • collaborative filtering
  • recommender systems
  • information extraction
  • matrix factorization
  • machine learning
  • learning algorithm
  • user preferences
  • personalized services