公开(公告)号：US20160062950A1

公开(公告)日：2016-03-03

申请号：US14585675

申请日：2014-12-30

Applicant: Google Inc.

Inventor： Kay H. Brodersen ,  Havard Garnes ,  Dimitris Meretakis ,  Olaf Bachmann ,  Steven Lee Scott

IPC: G06F17/18

CPC classification number: G06F17/18 ,  G06K9/6284

Abstract: Systems and methods for anomaly detection and guided analysis using structural time-series model. A server may receive a request from a client to analyze a time-series data comprising a plurality of data points. A database of global calendars may be accessed. A structural time-series model may be built from the time-series data and the database of global calendars, the structural time-series model comprising a hidden structure and a plurality of probability distributions, each probability distribution corresponding to a data point. For each data point of the time-series data, a range of expected values is determined from a respective probability distribution, the range of expected values capturing a predefined percentage of the respective probability distribution. An anomaly is detected at a first data point of the time-series data responsive to comparing the first data point with a respective range of expected values. The anomaly is transmitted to the client for display with the time-series data.

Abstract translation: 使用结构时间序列模型进行异常检测和指导分析的系统和方法。 服务器可以从客户端接收请求以分析包括多个数据点的时间序列数据。 可以访问全局日历的数据库。 可以从时间序列数据和全局日历的数据库构建结构时间序列模型，结构时间序列模型包括隐藏结构和多个概率分布，每个概率分布对应于数据点。 对于时间序列数据的每个数据点，从相应的概率分布确定预期值的范围，所述期望值的范围捕获相应概率分布的预定百分比。 响应于将第一数据点与期望值的相应范围进行比较，在时间序列数据的第一数据点处检测到异常。 通过时间序列数据将异常传输给客户端进行显示。

公开(公告)号：US20160217529A1

公开(公告)日：2016-07-28

申请号：US14992416

申请日：2016-01-11

Applicant: Google Inc.

Inventor： Patrick Hummel ,  Kay H. Brodersen ,  Jan-Moritz Peter Franosch

IPC: G06Q40/04 ,  G06Q30/08

CPC classification number: G06Q40/04 ,  G06Q30/08

Abstract: Systems and methods for determining bid adjustments that may result in lower costs and/or increased benefit to content providers, and providing recommendations for adjusting a bidding strategy accordingly, are disclosed. One method includes determining a first marginal cost associated with a first set of one or more of a plurality of auctions for presentation of content items within one or more resources. The marginal costs represents a cost to a content provider associated with an additional action performed in association with the content items presented within the resources. The method further includes determining a second marginal cost associated with a second set of one or more of the plurality of auctions. The method further includes determining whether a difference between the first marginal cost and the second marginal cost exceeds a threshold, and generating a recommendation to adjust a bidding strategy in response to determining the difference exceeds the threshold.

Abstract translation: 公开了用于确定可能导致内容提供商降低成本和/或增加利益的投标调整的系统和方法，并且相应地提供了调整出价策略的建议。 一种方法包括确定与多个拍卖中的一个或多个拍卖的第一组相关联的第一边际成本，以在一个或多个资源内呈现内容项。 边际成本代表与在资源内呈现的内容项目相关联地执行的附加动作相关联的内容提供商的成本。 该方法还包括确定与多个拍卖中的一个或多个拍卖的第二组相关联的第二边际成本。 该方法还包括确定第一边际成本和第二边际成本之间的差异是否超过阈值，以及响应于确定差异而产生调整出价策略的建议超过阈值。