公开(公告)号：US20140081696A1

公开(公告)日：2014-03-20

申请号：US14089186

申请日：2013-11-25

Applicant: Yahoo! Inc.

Inventor： Konstantin Salomatin ,  Datong Chen ,  Qi He ,  Peiji Chen

IPC: G06Q10/10 ,  G06Q30/02 ,  G06Q10/06

CPC classification number: G06Q10/1095 ,  G06Q10/06 ,  G06Q30/0202 ,  G06Q30/0241

Abstract: Systems and methods for automatically forecasting the future availability of one or more resources, such as Internet advertising opportunities, are described herein. In accordance with various embodiments, a forecasting model that accounts for event-driven resource availability is trained based both on historical supply data and calendar information specifying events and event duration. The trained forecasting model is then used to forecast the availability of resources at one or more specified future time periods. In accordance with certain embodiments, the forecasting model comprises a Gaussian process model that has an event-driven kernel as a covariance function.

Abstract translation: 这里描述了用于自动预测一个或多个资源（例如因特网广告机会）的将来可用性的系统和方法。 根据各种实施例，基于历史供应数据和指定事件和事件持续时间的日历信息来训练考虑事件驱动的资源可用性的预测模型。 然后使用经过训练的预测模型来预测在一个或多个指定的未来时间段的资源的可用性。 根据某些实施例，预测模型包括具有作为协方差函数的事件驱动内核的高斯过程模型。