An Initial Investigation of Multi-Cyclic Training Regimen for Collaborative Filtering Models in GraphChi
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چکیده
More and more outlets are utilizing collaborative filtering techniques to make sense of the sea of data generated by our hyper-connected world. How a collaborative filtering model is generated can be the difference between accurate or flawed predictions. This study is to determine the impact of a cyclical training regimen on the algorithms presented in the Collaborative Filtering Toolkit for GraphCh
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تاریخ انتشار 2013