This function simply returns an object of class "`RecoSys`

"
that can be used to construct recommender model and conduct prediction.

1 | ```
Reco()
``` |

`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.

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.

`$tune()`

, `$train()`

, `$output()`

,
`$predict()`

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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