Model Introduction
=====================
We implement 53 recommendation models covering general recommendation, sequential recommendation,
context-aware recommendation and knowledge-based recommendation. A brief introduction to these models are as follows:


General Recommendation
--------------------------

.. toctree::
   :maxdepth: 1

   model/general/pop
   model/general/itemknn
   model/general/bpr
   model/general/neumf
   model/general/convncf
   model/general/dmf
   model/general/fism
   model/general/nais
   model/general/spectralcf
   model/general/gcmc
   model/general/ngcf
   model/general/lightgcn
   model/general/dgcf


Context-aware Recommendation
-------------------------------

.. toctree::
   :maxdepth: 1

   model/context/lr
   model/context/fm
   model/context/nfm
   model/context/deepfm
   model/context/xdeepfm
   model/context/afm
   model/context/ffm
   model/context/fwfm
   model/context/fnn
   model/context/pnn
   model/context/dssm
   model/context/widedeep
   model/context/din
   model/context/dcn
   model/context/autoint


Sequential Recommendation
---------------------------------

.. toctree::
   :maxdepth: 1

   model/sequential/fpmc
   model/sequential/gru4rec
   model/sequential/narm
   model/sequential/stamp
   model/sequential/caser
   model/sequential/nextitnet
   model/sequential/transrec
   model/sequential/sasrec
   model/sequential/bert4rec
   model/sequential/srgnn
   model/sequential/gcsan
   model/sequential/gru4recf
   model/sequential/sasrecf
   model/sequential/fdsa
   model/sequential/s3rec
   model/sequential/gru4reckg
   model/sequential/ksr

Knowledge-based Recommendation
---------------------------------

.. toctree::
   :maxdepth: 1

   model/knowledge/cke
   model/knowledge/cfkg
   model/knowledge/ktup
   model/knowledge/kgat
   model/knowledge/ripplenet
   model/knowledge/mkr
   model/knowledge/kgcn
   model/knowledge/kgnnls