In this paper we study the impact of advertisements on a predictive model for web pages impressions, calculated according to a set of features on the rendered page images. We analysed the effects on two different predictors, the colourfulness and the visual complexity. We compared the prediction against ground-truth values, obtained through a user study. We conclude that the prediction model behaves correctly for the complexity, but it is not able to predict the increase on the colourfulness ratings.

Predicting the impact of advertisements on web pages aesthetic impressions

FENU, GIANNI;SPANO, LUCIO DAVIDE
2014-01-01

Abstract

In this paper we study the impact of advertisements on a predictive model for web pages impressions, calculated according to a set of features on the rendered page images. We analysed the effects on two different predictors, the colourfulness and the visual complexity. We compared the prediction against ground-truth values, obtained through a user study. We conclude that the prediction model behaves correctly for the complexity, but it is not able to predict the increase on the colourfulness ratings.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/58231
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