An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection

Personalized contents have been getting more attention from industry and academia due to its effective communicative role in product advertisements. However, there exist potential threats to the customer’s privacy in conventional approaches where a data server containing customer profiles is employed or the customer profiles is required to be sent over the public network. To address this, this paper describes a framework that employs a script-based interactive content technique for privacy protection. We illustrate our approach by a sample scenario.