This function simply returns an object of class "
that can be used to construct recommender model and conduct prediction.
Reco() returns an object of class "
equipped with methods
$predict(), which describe the typical process of
building and tuning model, exporting factorization matrices, and
predicting results. See their help documents for details.
Yixuan Qiu <http://statr.me>
W.-S. Chin, Y. Zhuang, Y.-C. Juan, and C.-J. Lin. A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems. ACM TIST, 2015.
W.-S. Chin, Y. Zhuang, Y.-C. Juan, and C.-J. Lin. A Learning-rate Schedule for Stochastic Gradient Methods to Matrix Factorization. PAKDD, 2015.
W.-S. Chin, B.-W. Yuan, M.-Y. Yang, Y. Zhuang, Y.-C. Juan, and C.-J. Lin. LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems. Technical report, 2015.