LIBFFM is an open source tool for field-aware factorization machines (FFM). For the formulation of FFM, please see this paper. It has been used to win the top-3 in recent click-through rate prediction competitions (Criteo, Avazu, Outbrain, and RecSys 2015).
Main features include
Please download LIBFFM at github.
|A branch for regression problems||1.12||LIBFFM authors||zip or tar.gz|
|A Python wrapper to run LIBFFM on SFrames||N/A||Chris DuBois||link|
|A branch that includes linear and bias terms||1.14||LIBFFM authors||zip or tar.gz|
|A branch that implements standard FM||1.14||LIBFFM authors||zip or tar.gz|