A Comprehensive Analysis of the Impact of Artificial Intelligence on Advertising Strategies
| dc.authorscopusid | 60169762300 | |
| dc.authorscopusid | 57791962400 | |
| dc.contributor.author | Frasina, Ioana Cristiana | |
| dc.contributor.author | Rasheed, Jawad | |
| dc.contributor.author | Rasheed, Jawad | |
| dc.contributor.department-temp | ||
| dc.date.accessioned | 2026-07-02T10:41:54Z | |
| dc.date.issued | 2025 | |
| dc.department | Lisansüstü Eğitim Enstitüsü | |
| dc.department | Mühendislik ve Doğa Bilimleri Fakültesi | |
| dc.description | 3rd International Conference on Artificial Intelligence of Things, AIoT 2024 / Editors:Jawad Rasheed, Muhammad Fahim, Ahmet Gürhanlı -- Springer -- ISBN:978-303207741-7 -- 2025. | |
| dc.description.abstract | In advertising, Artificial Intelligence (AI) plays a pivotal role in revolutionizing targeting strategies by analyzing vast datasets to identify precise audience segments. Additionally, AI-driven algorithms optimize ad placement and content creation, enhancing engagement and conversion rates. Its capacity for real-time analysis empowers advertisers to adapt swiftly to evolving market trends, ensuring campaigns remain effective and competitive. This extensive review delves into the dynamic realm of Artificial Intelligence (AI) within the advertising domain, amalgamating insights from pivotal research in this area. It delves into the multifaceted influence of AI on advertising, showcasing its ability to augment ad precision and streamline operations through various machine-learning techniques. Furthermore, the paper elucidates AI’s revolutionary potential in fostering personalized advertising and facilitating content creation. This review underscores the symbiotic relationship driving advancements in advertising strategies by highlighting the intrinsic interconnectedness of crucial AI components, such as targeting, personalization, content generation, and ad optimization. | |
| dc.identifier.citation | Frasina, IC., Rasheed, J. (2025). A Comprehensive Analysis of the Impact of Artificial Intelligence on Advertising Strategies. In: Rasheed, J., Fahim, M., Gürhanlı, A. (eds) Artificial Intelligence of Things. ICAIoT 2024. Communications in Computer and Information Science, vol 2634. Springer, Cham. https://doi.org/10.1007/978-3-032-07742-4_14 | |
| dc.identifier.doi | 10.1007/978-3-032-07742-4_14 | |
| dc.identifier.endpage | 187 | |
| dc.identifier.isbn | 978-303207741-7 | |
| dc.identifier.issn | 1865-0929 | |
| dc.identifier.orcid | 0000-0003-3761-1641 | |
| dc.identifier.scopus | 2-s2.0-105021002578 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 172 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-032-07742-4_14 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12436/9658 | |
| dc.identifier.volume | 2634 CCIS | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.relation.ispartof | Communications in Computer and Information Science | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Öğrenci | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Ad optimization | |
| dc.subject | Advertisement | |
| dc.subject | Machine Learning | |
| dc.subject | Personalization | |
| dc.subject | Sustainability | |
| dc.subject | Targeting | |
| dc.title | A Comprehensive Analysis of the Impact of Artificial Intelligence on Advertising Strategies | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | f9b9b46c-d923-42d3-b413-dd851c2e913a | |
| relation.isAuthorOfPublication.latestForDiscovery | f9b9b46c-d923-42d3-b413-dd851c2e913a |
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