Interactive advertising using dialogue generation engine on twitter

Abstract

Technology that understands user preferences based on their behavioral patterns and delivers optimal content has greatly improved advertising efficiency to date. On the other hand, from the viewpoint of personal information protection, restrictions on tracking user behavior in detail are being tightened.Under such circumstances, there is a need for a method to understand the preferences of users without stressing them out with fewer points of contact. In this paper, we developed a dialogue engine using GPT (Genarative Pretrained Transfomer) to collect user interest information on Twitter, and analyzed the preference information obtained from the system.