Design of large scale mobile advertising recommendation system

In this paper, we consider a mobile advertising recommendation system using item-based Top-N recommendation algorithm based on Hadoop framework and then propose a solution based on the Hadoop framework to build a distributed recommendation system. We also introduce advertising server into the system. Seller will pay for their advertising when it is clicked by users, so that this platform can make profit. We use data analysis algorithm based on MapReduce programming model to achieve good performance and high scalability. The experiments show that our system can improve efficient clearly.