Sparse High-Dimensional Dataset

A Sparse High-Dimensional Dataset is a sparse dataset that is a high-dimensional dataset.

• Example(s):
  • Sparse High-Dimensional Matrix, with numeric values.
• See: Dense Low-Dimensional Dataset.

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References

2016

• (Bayer, 2016) ⇒ Immanuel Bayer. (2016). “fastFM: A Library for Factorization Machines.” In: The Journal of Machine Learning Research, 17(1).
  • QUOTE: Factorization Machines (FM) are currently only used in a narrow range of applications and are not yet part of the standard machine learning toolbox, despite their great success in collaborative filtering and click-through rate prediction. However, Factorization Machines are a general model to deal with sparse and high dimensional features. ...

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