Citation

Lee, Chin Poo and Lim, Kian Ming and Yu, Tew Jia and Abdul Razak, Siti Fatimah (2019) AI-based targeted advertising system. Indonesian Journal of Electrical Engineering and Computer Science, 13 (2). pp. 787-793. ISSN 2502-4752

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Abstract

The most common technology used in targeted advertising is facial recognition and vehicle recognition. Even though there are existing systems serving for the targeting purposes, most propose limited functionalities and the system performance is normally unknown. This paper presents an intelligent targeted advertising system with multiple functionalities, namely facial recognition for gender and age, vehicle recognition, and multiple object detection. The main purpose is to improve the effectiveness of outdoor advertising through biometrics approaches and machine learning technology. Machine learning algorithms are implemented for higher recognition accuracy and hence achieved better targeted advertising effect.

Item Type:	Article
Uncontrolled Keywords:	Billboard advertising
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5801-6182 Advertising
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	05 Jan 2022 02:42
Last Modified:	05 Jan 2022 02:42
URII:	http://shdl.mmu.edu.my/id/eprint/8935

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