Version 1.14 released on March 14, 2016. A bug fixed.
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 two recent click-through rate prediction competitions (Criteo's and Avazu's).
Main features include
The current release of LIBFFM can be obtained by downloading the zip or tar.gz file. It is also available on 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|