公开(公告)号：US20150170050A1

公开(公告)日：2015-06-18

申请号：US13840381

申请日：2013-03-15

Applicant: Google Inc.

Inventor： Thomas Graham Price

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06F17/30551 ,  G06F17/30864

Abstract: The specification relates to a client device utilizing an unintentional-selection module that disambiguates selection events for temporally proximate content. The client device records time stamps indicating a time a dynamic list is first presented and instances when the dynamic list is updated. An input selection indicating that a suggested search query has been chosen from the dynamic list of search suggestions is received and a time stamp for the input selection is recorded. A determination is made to see if the input selection is an unintentional selection. The input selection is determined as the unintentional selection when a difference between a time stamp for presenting a most recent dynamic list update and the time stamp of the input selection satisfies a user-specific threshold. The user-specific threshold is calculated with a machine learning system using user-specific latency times as training data.

Abstract translation: 本说明书涉及利用无意选择模块的客户端设备，其消除时间上接近的内容的选择事件。 客户端设备记录指示首次呈现动态列表的时间的时间戳和动态列表被更新时的实例。 接收到表示从搜索建议的动态列表中选择了建议的搜索查询的输入选择，并且记录了用于输入选择的时间戳。 确定输入选择是否是无意的选择。 当用于呈现最新的动态列表更新的时间戳和输入选择的时间戳之间的差异满足用户特定的阈值时，输入选择被确定为无意的选择。 用机器学习系统使用用户特定的延迟时间作为训练数据来计算用户特定的阈值。

公开(公告)号：US20190068733A1

公开(公告)日：2019-02-28

申请号：US15685162

申请日：2017-08-24

Applicant: Google Inc.

Inventor： Justin Lewis ,  Thomas Graham Price

IPC: H04L29/08 ,  G06N7/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting an eligibility value for transmitting a digital component. In one aspect, a computing system includes a server for identifying opportunities to transmit digital components to client devices. The server determines a first probability of a given outcome occurring following user interaction with the digital component when the digital component is transmitted to the client device. The server determines a second probability of the given outcome occurring if the digital component is not transmitted to the client device. The server generates an outcome incrementality factor for the digital component, including determining a ratio of the first probability relative to the second probability, and triggers adjustment of an eligibility value based on the outcome incrementality factor. The server then controls transmission of the digital component to the client device using the adjusted eligibility value.

公开(公告)号：US20180054498A1

公开(公告)日：2018-02-22

申请号：US15240876

申请日：2016-08-18

Applicant: Google Inc.

Inventor： Tuna Toksoz ,  Thomas Graham Price ,  Anurag Agrawal

IPC: H04L29/08 ,  G06Q30/02

CPC classification number: H04L67/2847 ,  G06Q30/0277 ,  H04L67/02 ,  H04L67/025 ,  H04L67/1097 ,  H04L67/2819 ,  H04L67/2857 ,  H04L67/42

Abstract: This document describes a content caching system for pre-loading digital components, the system including a communication interface configured to communicate with a remote device over a wireless network, a local content cache; and an evaluation system comprising one or more processors. The one or more operations include pre-loading a digital component for rendering in a browser at a time that is subsequent to a time of the pre-loading, registering a scheme of a network reference for the cached digital component, with the scheme comprising a specified portion of the network reference for the cached digital component; retrieving, from the local content cache, the pre-loaded digital component associated with the digital component tag comprising the network reference; and rendering, from the local content cache, the pre-loaded digital component in a graphical user interface rather than requesting the digital component from the remote device.

公开(公告)号：US09104982B2

公开(公告)日：2015-08-11

申请号：US13840381

申请日：2013-03-15

Applicant: Google Inc.

Inventor： Thomas Graham Price

IPC: G06F15/18 ,  G06N3/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06F17/30551 ,  G06F17/30864

Abstract: The specification relates to a client device utilizing an unintentional-selection module that disambiguates selection events for temporally proximate content. The client device records time stamps indicating a time a dynamic list is first presented and instances when the dynamic list is updated. An input selection indicating that a suggested search query has been chosen from the dynamic list of search suggestions is received and a time stamp for the input selection is recorded. A determination is made to see if the input selection is an unintentional selection. The input selection is determined as the unintentional selection when a difference between a time stamp for presenting a most recent dynamic list update and the time stamp of the input selection satisfies a user-specific threshold. The user-specific threshold is calculated with a machine learning system using user-specific latency times as training data.

Abstract translation: 本说明书涉及利用无意选择模块的客户端设备，其消除时间上接近的内容的选择事件。 客户端设备记录指示首次呈现动态列表的时间的时间戳和动态列表被更新时的实例。 接收到表示从搜索建议的动态列表中选择了建议的搜索查询的输入选择，并且记录了用于输入选择的时间戳。 确定输入选择是否是无意的选择。 当用于呈现最新的动态列表更新的时间戳和输入选择的时间戳之间的差异满足用户特定的阈值时，输入选择被确定为无意的选择。 用机器学习系统使用用户特定的延迟时间作为训练数据来计算用户特定的阈值。

公开(公告)号：US20190026161A1

公开(公告)日：2019-01-24

申请号：US15034074

申请日：2016-04-12

Applicant: Google Inc.

Inventor： Tuna Toksoz ,  Thomas Graham Price

IPC: G06F9/50 ,  G06F9/48 ,  H04L29/08 ,  H04L12/26 ,  H04L12/927 ,  H04W28/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reducing latency in presenting content. In one aspect, a system includes (i) a native application that presents an interactive item and (ii) a latency reduction engine. The latency reduction engine detects interaction with the interactive item that links to a first electronic resource that is (i) different from the native application and (ii) provided by a first network domain and in response to the detecting, reduces latency in presenting the first electronic resource, including executing a first processing thread and a second processing thread in parallel. The first processing thread requests a second electronic resource from a second network domain and loads the second electronic resource and, in response to the loading, stores a browser cookie for the second network domain. The second processing thread requests the first electronic resource and presents the first electronic resource.