Using Hadoop platform to develop ad accurate delivery system

The China Internet Development Report (2013), published recently by the National Internet Association, points out that China Mobile's marketing market is exploding, with an overall market size of 6.35 billion yuan in 2012 and an increase of 162.4% over the previous year.
The number of smartphone users in China has reached 380 million by the end of 2012, the agency's consultancy also said in a study. Nielsen, the US market research firm, said in a report that China's smartphone penetration rate has reached 66% per cent, surpassing the UK and US markets. The growing popularity of smartphones means a huge mobile advertising opportunity for the advertising industry.
The huge market is often equated with an extremely crowded and highly competitive market, especially in the mobile advertising industry. With many advertising platforms competing in this area, it is important for application developers to choose a mobile advertising platform with stable advertisers, intelligent delivery systems and diversified forms of advertising to ensure that their applications generate a steady stream of revenue.
At a recent Beijing International Open Source Conference Technology Forum, Dr. Chen Jidong of Ader mobile advertising platform said that "Hadoop has become the standard for large data analysis platforms, including HDFS distributed storage, MapReduce distributed computing, HBase distributed Persistent object access. Large data must not be around the three large data tools. "After the meeting he pointed out that the user population attribute prediction based on large data machine learning, multidimensional intelligent directional placement and multilayer anomaly detection and anti cheating technology, Ader is doing this work.
According to Ader related personnel, currently within the Ader has a powerful large data analysis team, by the China Computer Society large Data Expert committee member Chen Jidong, a number of parallel databases, Hadoop, Massive data mining and other large data analysis related fields have many years of experience in data scientists and data engineers. The team studied and developed a set of advertising delivery systems based on Hadoop's large data platform and real-time streaming computing, which can build data analysis methods and models for the accurate delivery of mobile ads based on existing dynamic, high-dimensional, and complex data, through cross platform user behavior analysis and crowd orientation, Thus, multidimensional intelligent directional delivery and effect optimization, improve the advertising conversion rate, optimize the advertising effect, thereby improving the user experience.