Reco: Constructing a Recommender System Object

Description Usage Value Author(s) References See Also


This function simply returns an object of class "RecoSys" that can be used to construct recommender model and conduct prediction.




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 <>


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()

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