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A Novel Ensemble Approach for Click-Through Rate Prediction Based on Factorization Machines and Gradient Boosting Decision Trees.

Xiaochen WangGang HuHaoyang LinJiayu Sun
Published in: APWeb/WAIM (2) (2019)
Keyphrases
  • gradient boosting
  • decision trees
  • prediction accuracy
  • click through rate
  • pairwise
  • loss function
  • user behavior
  • matrix factorization
  • random forests
  • base learners
  • single feature