A study of mobile advertisement recommendation using real big data from AdLocus

Abstract

AdLocus is an APP developed by HyXen Company for mobile advertisements. This advertising software can push the message to the target users within specified locations. Based on the real big data provided by AdLocus, we design a dynamic advertisements recommendation system to increase the advertising efficiency. The proposed method uses the regression models and the click probability to recommend the amount of mobile advertisements for every 30 minutes. The results show that our recommendation can efficiently raise the successful clicking rate to satisfy the required clicks number. Moreover, the proposed method avoids the redundant advertisements to reduce the system cost.