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HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems.

Anran XuShuo YangShuai LiZhenzhe ZhengLingLing YaoFan WuGuihai ChenJie Jiang
Published in: DASFAA (2) (2023)
Keyphrases
  • variable length
  • probabilistic model
  • supervised learning
  • fixed length
  • learning algorithm
  • three dimensional
  • multiscale
  • learning process
  • filtering algorithm
  • statistical dependencies