Towards Providing Relevant Digital Signage Advertisement to a Group of Users Based on Users' Interests Investigation
Polina Morozova, Nikolay Germanovich Shilov · 2019
Nowadays an advertisement becomes more and more personal. Usually, internet data mining algorithms collect information about user's activities, analyze it and offer the most relevant context advertisement. But it is much more complicated to find information to show to a group of viewers in public places. This happens due to privacy restrictions and lack of algorithms that would allow finding mutual interests for a group of users. In this article, an approach to solving these problems through analysis of multiple visual viewers' characteristics is proposed.