Ranking Model Learning Algorithm

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A Ranking Model Learning Algorithm is a model-based learning algorithm that can learn a ranking model.



References

2007

2005

  • (Burges et al., 2005) ⇒ Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. (2005). “Learning to Rank Using Gradient Descent.” In: Proceedings of the 22nd International Conference on Machine learning (ICML 2005) doi:10.1145/1102351.1102363.
    • ABSTRACT: We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these ideas using a neural network to model the underlying ranking function. We present test results on toy data and on data from a commercial internet search engine.

2003