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.
2014
Inglese
Proceedings of 9th International Conference on Knowledge,Information and Creativity Support Systems
9789963700844
243
251
9
KICSS Conference
Esperti anonimi
6-8 November 2014
Limassol, Cyprus
scientifica
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Fenu, Gianni; Fadda, G; Spano, LUCIO DAVIDE
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferenceObject
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