Personality in Computational Advertising: A Benchmark

Roffo, G. and Vinciarelli, A. (2016) Personality in Computational Advertising: A Benchmark. In: International Workshop on Emotions and Personality in Personalized Systems at ACM RecSys (EMPIRE 2016), Boston, MA, USA, 16 Sept 2016,

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In the last decade, new ways of shopping online have increased the possibility of buying products and services more easily and faster than ever. In this new context, personality is a key determinant in the decision making of the consumer when shopping. A person’s buying choices are influenced by psychological factors like impulsiveness; indeed some consumers may be more susceptible to making impulse purchases than others. Since affective metadata are more closely related to the user’s experience than generic parameters, accurate predictions reveal important aspects of user’s attitudes, social life, including attitude of others and social identity. This work proposes a highly innovative research that uses a personality perspective to determine the unique associations among the consumer’s buying tendency and advert recommendations. In fact, the lack of a publicly available benchmark for computational advertising do not allow both the exploration of this intriguing research direction and the evaluation of recent algorithms. We present the ADS Dataset, a publicly available benchmark consisting of 300 real advertisements (i.e., Rich Media Ads, Image Ads, Text Ads) rated by 120 unacquainted individuals, enriched with Big-Five users’ personality factors and 1,200 personal users’ pictures.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Roffo, Dr Giorgio and Vinciarelli, Professor Alessandro
Authors: Roffo, G., and Vinciarelli, A.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2016 The Authors
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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