Artificial intelligence in advertising: advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization

B Gao, Y Wang, H Xie, Y Hu, Y Hu - Sage Open, 2023 - journals.sagepub.com
With the rapid advancement of artificial intelligence (AI) technology, the advertising industry
is at a crossroads of new opportunities and challenges. This pioneering study provides an in …

Applications of artificial intelligence in B2B marketing: Challenges and future directions

M Moradi, M Dass - Industrial Marketing Management, 2022 - Elsevier
With the growing popularity of artificial intelligence (AI) transforming business-to-business
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

C Suraña‐Sánchez… - International Journal of …, 2024 - Wiley Online Library
This study, through a bibliometric analysis, aims to provide increased knowledge of the
evolution and effects of artificial intelligence over the last 30 years in customer engagement …

Exploring the personalization-intrusiveness-intention framework to evaluate the effects of personalization in social media

J Lee, C Kim, KC Lee - International Journal of Information Management, 2022 - Elsevier
Personalization is prevalent in modern social media marketing strategies. However, the
users of social media services may perceive that personalized content is intrusive. These …

Understanding high‐involvement product purchase through an innovative machine learning approach: A case of housing type choice

J Amarasinghe Arachchige, S Quach… - Journal of Consumer …, 2022 - Wiley Online Library
Adopting the conservation of resources theory, this research explores the joint influence of
multiple factors affecting the choice of housing, an instance of a high involvement product …

Enhancing personalized ads using interest category classification of SNS users based on deep neural networks

T Hong, JA Choi, K Lim, P Kim - Sensors, 2020 - mdpi.com
The classification and recommendation system for identifying social networking site (SNS)
users' interests plays a critical role in various industries, particularly advertising …

an ensemble architecture based on deep learning model for click fraud detection in Pay-Per-click advertisement campaign

A Batool, YC Byun - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid development of online advertising, click fraud is a serious issue for the
internet market. Click fraud is a dishonest attempt to improve a website's profit or deplete an …

Analysis of e‐Mail Spam Detection Using a Novel Machine Learning‐Based Hybrid Bagging Technique

A Rayan - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
e‐mail service providers and consumers find it challenging to distinguish between spam and
nonspam e‐mails. The purpose of spammers is to spread false information by sending …

Machine learning approaches and applications in genome wide association study for Alzheimer's disease: A systematic review

AS Alatrany, AJ Hussain, J Mustafina… - IEEE Access, 2022 - ieeexplore.ieee.org
Machine learning algorithms have been used for detection (and possibly) prediction of
Alzheimer's disease using genotype information, with the potential to enhance the outcome …

Commercialized generative AI: A critical study of the feasibility and ethics of generating native advertising using large language models in conversational web search

I Zelch, M Hagen, M Potthast - arXiv preprint arXiv:2310.04892, 2023 - arxiv.org
How will generative AI pay for itself? Unless charging users for access, selling advertising is
the only alternative. Especially in the multi-billion dollar web search market with ads as the …