Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework

This work conducts a systematic literature review about the domain of personalized advertisement, and more specifically, about the techniques that are used for this purpose. State-of-the-art publications and techniques are presented in detail, and the relationship of this domain with other related d...

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Autores principales:	Iosif Viktoratos, Athanasios Tsadiras
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	personalized advertising e-commerce computational techniques Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/094754045c7343d4bd80744e2fa53ad4
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id	oai:doaj.org-article:094754045c7343d4bd80744e2fa53ad4
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spelling	oai:doaj.org-article:094754045c7343d4bd80744e2fa53ad42021-11-25T17:58:42ZPersonalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework10.3390/info121104802078-2489https://doaj.org/article/094754045c7343d4bd80744e2fa53ad42021-11-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/480https://doaj.org/toc/2078-2489This work conducts a systematic literature review about the domain of personalized advertisement, and more specifically, about the techniques that are used for this purpose. State-of-the-art publications and techniques are presented in detail, and the relationship of this domain with other related domains such as artificial intelligence (AI), semantic web, etc., is investigated. Important issues such as (a) business data utilization in personalized advertisement models, (b) the cold start problem in the domain, (c) advertisement visualization issues, (d) psychological factors in the personalization models, (e) the lack of rich datasets, and (f) user privacy are highlighted and are pinpointed to help and inspire researchers for future work. Finally, a design framework for personalized advertisement systems has been designed based on these findings.Iosif ViktoratosAthanasios TsadirasMDPI AGarticlepersonalized advertisinge-commercecomputational techniquesInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 480, p 480 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	personalized advertising e-commerce computational techniques Information technology T58.5-58.64
spellingShingle	personalized advertising e-commerce computational techniques Information technology T58.5-58.64 Iosif Viktoratos Athanasios Tsadiras Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
description	This work conducts a systematic literature review about the domain of personalized advertisement, and more specifically, about the techniques that are used for this purpose. State-of-the-art publications and techniques are presented in detail, and the relationship of this domain with other related domains such as artificial intelligence (AI), semantic web, etc., is investigated. Important issues such as (a) business data utilization in personalized advertisement models, (b) the cold start problem in the domain, (c) advertisement visualization issues, (d) psychological factors in the personalization models, (e) the lack of rich datasets, and (f) user privacy are highlighted and are pinpointed to help and inspire researchers for future work. Finally, a design framework for personalized advertisement systems has been designed based on these findings.
format	article
author	Iosif Viktoratos Athanasios Tsadiras
author_facet	Iosif Viktoratos Athanasios Tsadiras
author_sort	Iosif Viktoratos
title	Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
title_short	Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
title_full	Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
title_fullStr	Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
title_full_unstemmed	Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
title_sort	personalized advertising computational techniques: a systematic literature review, findings, and a design framework
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/094754045c7343d4bd80744e2fa53ad4
work_keys_str_mv	AT iosifviktoratos personalizedadvertisingcomputationaltechniquesasystematicliteraturereviewfindingsandadesignframework AT athanasiostsadiras personalizedadvertisingcomputationaltechniquesasystematicliteraturereviewfindingsandadesignframework
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Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework

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