An Effective Algorithm for Interest Aware Opportunistic Advertising by Mining Social and Consuming Information

Abstract

Advertisements and coupon forwarding among mobile devices and social platforms become significant in recent years. However, when users are in the crowded places where the network connection is unstable such as shopping malls, forwarding of advertisements to target users in limited time is challenge. Thus, we propose an interest-aware opportunistic advertising by mining social and consuming information system (ISC) and algorithm. In ISC system, we combine social relationship and consuming information to find out the consumers who have similar interest. ISC algorithm adopts the result of ISC system to reduce the delay of broadcasting advertisement and increase the advertisement effect. We also implement and evaluate the performance of ISC system and algorithm on mobile devices and the ONE simulator. Our experiment results show that ISC algorithm is cost effective and intensively magnify the advertising effeteness with many customers under uncertain network and time-limited environments.

Signal and information processing in mobile cloud computing: Trends and challenges

“…Therefore, the clients' workload and cloud servers' workload is equivalent of rescue cloud. The third application is business cloud [15]. Advertisements and coupons forwarding among mobile devices and social platforms to increase the consuming benefit become popular in recent years.…”