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
abstract: Artificial intelligence (AI) is a burgeoning technology, industry, and field of study. Whi...
This document describes a system where advertisers do not need to create multiple variations of an a...
This paper presents a detailed discussion of problem formulation and data representation issues in t...
The most common technology used in targeted advertising is facial recognition and vehicle recognitio...
In this work we describe a system composed of deep neural networks that analyzes characteristics of ...
Personal data and information collected online by companies can be used to design and personalise ad...
Abstract Personal data and information collected online by companies can be used to design and pers...
Nowadays, facial recognition is one of the widely used categories of biometric security that disting...
This bachelor thesis focuses on the trend of using artificial intelligence as a tool for personaliza...
Abstract—With the Internet development, advertising becomes more convenience for advertisement provi...
Offline advertisements are static in nature. Advertising companies use billboards for advertising. T...
In 1956 John McCarthy first coined the term Artificial Intelligence, he defined it as “the science a...
The present disclosure describes systems and methods that leverage one or more machine learning tech...
To improve the performance of marketing efforts, marketers seek new ways of attracting customers. In...
This study explores the utilization of Artificial Intelligence (AI) in the online advertising proces...
abstract: Artificial intelligence (AI) is a burgeoning technology, industry, and field of study. Whi...
This document describes a system where advertisers do not need to create multiple variations of an a...
This paper presents a detailed discussion of problem formulation and data representation issues in t...
The most common technology used in targeted advertising is facial recognition and vehicle recognitio...
In this work we describe a system composed of deep neural networks that analyzes characteristics of ...
Personal data and information collected online by companies can be used to design and personalise ad...
Abstract Personal data and information collected online by companies can be used to design and pers...
Nowadays, facial recognition is one of the widely used categories of biometric security that disting...
This bachelor thesis focuses on the trend of using artificial intelligence as a tool for personaliza...
Abstract—With the Internet development, advertising becomes more convenience for advertisement provi...
Offline advertisements are static in nature. Advertising companies use billboards for advertising. T...
In 1956 John McCarthy first coined the term Artificial Intelligence, he defined it as “the science a...
The present disclosure describes systems and methods that leverage one or more machine learning tech...
To improve the performance of marketing efforts, marketers seek new ways of attracting customers. In...
This study explores the utilization of Artificial Intelligence (AI) in the online advertising proces...
abstract: Artificial intelligence (AI) is a burgeoning technology, industry, and field of study. Whi...
This document describes a system where advertisers do not need to create multiple variations of an a...
This paper presents a detailed discussion of problem formulation and data representation issues in t...