摘要
针对在线广告投放中对实时性和高精确度的要求,对比了Hadoop和Spark两种主流平台在实现流程及效率方面的差异,提出了将线性模型结合Spark技术应用在广告投放系统中,并从数值特征、迭代和步长等方面对模型进行优化.经测试表明,调优后的精确度有5%至10%的提升.
The online advertisement is the most important model of Internet profit. It makes the compu-ting advertising a hot point of current research. For the real-time requirement and the high accuracy re-quirement in the online advertising system, the difference between the implementation and efficiency is compared based on the two popular platforms of Hadoop and Spark. And then a linear model is proposed combined with the technology of Spark to be applied in the advertising system. Finally the linear model is optimized from the aspect of numerical characteristics, iteration and step size. The testing result shows that the accuracy has a 5% to 10% increase after the optimization.
出处
《广东工业大学学报》
CAS
2016年第5期28-33,共6页
Journal of Guangdong University of Technology
基金
广东省科技计划项目(2014B090901053)
广州市科技计划项目(2013Y2-00074)
