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Using neuroscience to understand consumers
Moutinho, Luiz; Menezes, Karla; Menezes, Silvio - In: Biometrics and neuroscience research in business and …, (pp. 245-277). 2024
Persistent link: https://www.econbiz.de/10014560402
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Tales of two channels : digital advertising performance between ai recommendation and user subscription channels
Dong, Beibei; Zhuang, Mengzhou; Fang, Eric; Huang, Minxue - In: Journal of marketing 88 (2024) 2, pp. 141-162
Persistent link: https://www.econbiz.de/10014582909
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Advertising value and privacy concerns in mobile advertising : the case of SMS advertising in banking
Hui Shan Lom; Thoo Ai Chin; Lim, Weng Marc; Kian Yeik Koay - In: Journal of financial services marketing 29 (2024) 3, pp. 1135-1153
Persistent link: https://www.econbiz.de/10015061502
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Targeting and privacy in mobile advertising
Rafieian, Omid; Yoganarasimhan, Hema - In: Marketing science : the marketing journal of the … 40 (2021) 2, pp. 193-216
Persistent link: https://www.econbiz.de/10012504914
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Estimating marketing component effects : double machine learning from targeted digital promotions
Ellickson, Paul B.; Kar, Wreetabrata; Reeder, James C. - In: Marketing science 42 (2023) 4, pp. 704-728
Persistent link: https://www.econbiz.de/10014317639
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Optimizing user engagement through adaptive ad sequencing
Rafieian, Omid - In: Marketing science 42 (2023) 5, pp. 910-933
Persistent link: https://www.econbiz.de/10014393384
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Machine Learning for Targeted Display Advertising : Transfer Learning in Action
Perlich, C. - 2013
, deployment, and operation of a massive-scale machine learning system for targeted display advertising. Notably, the machine … learning system itself is deployed and has been in continual use for years, for thousands of advertising campaigns (in contrast … transfer stages indeed each add value. We next present production results across a variety of advertising clients from a …
Persistent link: https://www.econbiz.de/10013086426
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Content moderation and advertising in social media platforms
Madio, Leonardo; Quinn, Martin - 2021
On social media platforms, unsafe and unlawful materials might hurt advertisers by generating ``brand safety issues''. Users instead might prefer or dislike such content. We study the incentive of an ad-funded platform to design its content policy and moderate unsafe content. When advertisers...
Persistent link: https://www.econbiz.de/10013219466
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Advertising benefits from ethical artificial intelligence algorithmic purchase decision pathways
Rodgers, Waymond; Tam Nguyen - In: Journal of business ethics : JBE 178 (2022) 4, pp. 1043-1061
Persistent link: https://www.econbiz.de/10013271675
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Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing
Wu, Linwan; Dodoo, Naa Amponsah; Wen, Taylor Jing; Ke, Li - In: International journal of advertising : the review of … 41 (2022) 4, pp. 685-702
Persistent link: https://www.econbiz.de/10013209394