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1 Preprint article

Dimensionality reduction for click-through rate prediction: Dense versus sparse representation

Fruergaard, Bjarne Ørum; Hansen, Toke Jansen; Hansen, Lars Kai

intelligently such as clickthrough rate prediction need to be sufficiently fast. In this work, we propose to use dimensionality reduction of the user-website interaction graph in order to produce simplified features of users and websites that can be used as predictors of clickthrough rate. We demonstrate

Year: 2014

Language: Undetermined

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bgekjnaf pcmi l hod
2 Conference paper

Dimensionality reduction for click-through rate prediction: Dense versus sparse representation

Fruergaard, Bjarne Ørum; Hansen, Toke Jansen; Hansen, Lars Kai

Proceedings of the 3rd Nips Workshop on Machine Learning and Interpretation in Neuroimaging 2013 — 2013

intelligently such as clickthrough rate prediction need to be sufficiently fast. In this work, we propose to use dimensionality reduction of the user-website interaction graph in order to produce simplified features of users and websites that can be used as predictors of clickthrough rate. We demonstrate

Year: 2013

Language: English

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