| Reco {recosystem} | R Documentation |
Constructing a Recommender System Object
Description
This function simply returns an object of class "RecoSys"
that can be used to construct recommender model and conduct prediction.
Usage
Reco()
Value
Reco() returns an object of class "RecoSys"
equipped with methods
$train(), $tune(), $output()
and $predict(), which describe the typical process of
building and tuning model, exporting factorization matrices, and
predicting results. See their help documents for details.
Author(s)
Yixuan Qiu <https://statr.me>
References
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.
See Also
$tune(), $train(), $output(),
$predict()