Gradient boosting factorization machines

@inproceedings{Cheng2014GradientBF,
  title={Gradient boosting factorization machines},
  author={Chen-Kuang Cheng and Fen Xia and T. Zhang and Irwin King and Michael R. Lyu},
  booktitle={RecSys '14},
  year={2014}
}
Recommendation techniques have been well developed in the past decades. [...] Key Method Then we propose a novel Gradient Boosting Factorization Machine (GBFM) model to incorporate feature selection algorithm with Factorization Machines into a unified framework. The experimental results on both synthetic and real datasets demonstrate the efficiency and effectiveness of our algorithm compared to other state-of-the-art methods.Expand
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L G ] 1 7 A pr 2 01 8 A Boosting Framework of Factorization Machine
Recently, Factorization Machines (FM) has become more and more popular for recommendation systems, due to its effectiveness in finding informative interactions between features. Usually, the weightsExpand
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