Factorization Machines (FM)-based System

A Factorization Machines (FM)-based System is a supervised model-based prediction system that implements an FM algorithm to solve an FM-based task.

• Context:
  • It can be implemented by a Factorization Machine-based System.
  • It can combine the advantages of Support Vector Machines (SVM) with Factorization Models.
  • It can learn/model Feature Interactions (from high dimensional, sparse data).
  • …
• Example(s):
  • libFM.
  • fastFM.
  • LIBFFM [1].
  • NeuralFM [2].
  • AttentionalFM [3].
  • …
• Counter-Example(s):
  • Support Vector Machine.
• See: Sparse High-Dimensional Data, libFM, fastFM.

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