As the data size in Machine Learning fields grows exponentially, it is inevitable to accelerate the computation by utilizing the ever-growing large number of available cores provided by high-performance computing hardware.
This framework has been successfully applied to Baidu's sponsored search system, which yields a significant improvement in revenue.
no code implementations • 5 Aug 2020 • Yijiang Lian, Zhijie Chen, Xin Pei, Shuang Li, Yifei Wang, Yuefeng Qiu, Zhiheng Zhang, Zhipeng Tao, Liang Yuan, Hanju Guan, Kefeng Zhang, Zhigang Li, Xiaochun Liu
Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking.
This study applies convolutional neural networks (CNN) to capture neighborhood characteristics from satellite images and to enhance the performance of LUC modeling.