Reco: Constructing a Recommender System Object

In recosystem: Recommender System using Matrix Factorization

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()

recosystem documentation built on May 31, 2023, 7:31 p.m.