Profile-driven personalization based on socio-demographics is currently regarded as the most convenient base for successful personalized advertising. However, signs point to the dormant power of context recognition: Advertising systems that can adapt to the situational context of a consumer will rapidly gain importance. While technologies that can sense the environment are increasingly advanced, questions such as what to sense and how to adapt to a consumer’s con- text are largely unanswered. In this chapter, we analyze the purchase context of a retail outlet and conceptualize it such that adaptive pervasive advertising applications really deliver on their potential: showing the right message at the right time to the right recipient.
%0 Book Section
%1 pervadv
%A Bauer, Christine
%A Spiekermann, Sarah
%B Pervasive Advertising
%C London, United Kingdom
%D 2011
%E Müller, Jörg
%E Alt, Florian
%E Michelis, Daniel
%I Springer
%K advertising context imported myown pervasivecomputing
%P 159-183
%R 10.1007/978-0-85729-352-7_8
%T Conceptualizing Context for Pervasive Advertising
%U http://dblp.uni-trier.de/db/series/hci/MullerAM11.html#BauerS11
%X Profile-driven personalization based on socio-demographics is currently regarded as the most convenient base for successful personalized advertising. However, signs point to the dormant power of context recognition: Advertising systems that can adapt to the situational context of a consumer will rapidly gain importance. While technologies that can sense the environment are increasingly advanced, questions such as what to sense and how to adapt to a consumer’s con- text are largely unanswered. In this chapter, we analyze the purchase context of a retail outlet and conceptualize it such that adaptive pervasive advertising applications really deliver on their potential: showing the right message at the right time to the right recipient.
%& Chapter 8
%@ 978-0-85729-351-0, 978-0-85729-352-7
@inbook{pervadv,
abstract = {Profile-driven personalization based on socio-demographics is currently regarded as the most convenient base for successful personalized advertising. However, signs point to the dormant power of context recognition: Advertising systems that can adapt to the situational context of a consumer will rapidly gain importance. While technologies that can sense the environment are increasingly advanced, questions such as what to sense and how to adapt to a consumer’s con- text are largely unanswered. In this chapter, we analyze the purchase context of a retail outlet and conceptualize it such that adaptive pervasive advertising applications really deliver on their potential: showing the right message at the right time to the right recipient.},
added-at = {2019-04-27T18:20:03.000+0200},
address = {London, United Kingdom},
author = {Bauer, Christine and Spiekermann, Sarah},
biburl = {https://www.bibsonomy.org/bibtex/26edcba9d8e47834811a467e7de24426e/bauerc},
booktitle = {Pervasive Advertising},
chapter = {Chapter 8},
doi = {10.1007/978-0-85729-352-7_8},
editor = {Müller, Jörg and Alt, Florian and Michelis, Daniel},
interhash = {d400130c56f94092a4facb83e614e0f0},
intrahash = {6edcba9d8e47834811a467e7de24426e},
isbn = {978-0-85729-351-0, 978-0-85729-352-7},
keywords = {advertising context imported myown pervasivecomputing},
language = {English},
pages = {159-183},
publisher = {Springer},
series = {Human-Computer Interaction Series},
timestamp = {2020-06-14T01:26:07.000+0200},
title = {Conceptualizing Context for Pervasive Advertising},
type = {Book Section},
url = {http://dblp.uni-trier.de/db/series/hci/MullerAM11.html#BauerS11},
year = 2011
}