公开(公告)号：WO2014047361A2

公开(公告)日：2014-03-27

申请号：PCT/US2013/060736

申请日：2013-09-19

Applicant: GOOGLE INC.

Inventor： GOSSWEILER, Richard Carl, III ,  ARADHYE, Hrishikesh

IPC: G06F3/01

CPC classification number: G06F3/0481 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/04886

Abstract: In one example, a method includes determining, by a computing device, a plurality of features. Each feature from the plurality of features may be usable to determine a dominant hand of a user of the computing device. The method also includes receiving, by the computing device, a plurality of input values, each input value from the plurality of input values corresponding to the respective plurality of features, and determining, using a probabilistic model and based at least in part on at least one input value from the plurality of input values corresponding to the respective feature from the plurality of features, a hand of the user as a dominant hand of the user. The method also includes generating, based at least in part on the determined dominant hand of the user, a graphical user interface for display at a presence-sensitive display operatively coupled to the computing device.

Abstract translation: 在一个示例中，方法包括由计算设备确定多个特征。 来自多个特征的每个特征可以用于确定计算设备的用户的优势手。 所述方法还包括由所述计算设备接收多个输入值，来自所述多个输入值的对应于所述相应多个特征的每个输入值，以及使用概率模型并且至少部分至少基于至少 来自与来自多个特征的各个特征相对应的多个输入值中的一个输入值，作为用户的优势手的用户的手。 该方法还包括至少部分地基于所确定的用户的优势手，生成用于在可操作地耦合到计算设备的存在敏感显示器上显示的图形用户界面。

公开(公告)号：WO2016077103A1

公开(公告)日：2016-05-19

申请号：PCT/US2015/058844

申请日：2015-11-03

Applicant: GOOGLE INC.

Inventor： ARADHYE, Hrishikesh ,  KUMAR, Atul

IPC: G06Q30/02

CPC classification number: G06N5/048 ,  G06Q30/02 ,  H04L67/10

Abstract: Images and/or videos may be recommended to a developer based on a classifier. The classifier may determine an application metric that may measure the likelihood that an application is successful for applications on an application store. The system may extract and/or determine features from images and/or videos associated with a training set of applications that are deemed successful. A classifier may be trained on the training set of applications to determine which features of the images and/or videos are associated with the application metric. The classifier may be applied to new and/or existing applications on the application store to generate a recommendation of which images the developer of the application should use to increase the likelihood that the application will be successful.

Abstract translation: 基于分类器，可能会向开发人员推荐图像和/或视频。 分类器可以确定可以测量应用对应用商店上的应用成功的可能性的应用度量。 系统可以从被认为是成功的应用程序的训练集相关联的图像和/或视频中提取和/或确定特征。 可以对训练集应用程序对分类器进行训练，以确定图像和/或视频的哪些特征与应用度量相关联。 分类器可以应用于应用商店上的新的和/或现有的应用程序，以产生应用程序开发人员应该使用哪些图像来增加应用程序成功的可能性的建议。

公开(公告)号：WO2013192433A1

公开(公告)日：2013-12-27

申请号：PCT/US2013/046857

申请日：2013-06-20

Applicant: GOOGLE INC.

Inventor： PATTERSON, Anna ,  ARADHYE, Hrishikesh ,  HUA, Wei ,  LEHMANN, Daniel ,  LIN, Ruei-Sung

IPC: H04M1/725 ,  G06N99/00 ,  G06F15/18 ,  H04M1/60

CPC classification number: G06N99/005 ,  H04M1/6008 ,  H04M1/72566 ,  H04M1/72569 ,  H04M1/72572 ,  H04M2250/06

Abstract: Disclosed are apparatus and methods for providing machine-learning services. A context-identification system executing on a mobile platform can receive data comprising context-related data associated with the mobile platform and application-related data received from the mobile platform. The context- identification system can identify a context using the context-related data associated with the mobile platform and/or the application-related data received from the mobile platform. Based on at least one context identified, context- identification system can predict a communicative action associated with the mobile platform by performing a machine-learning operation on the received data. An instruction can be received to execute the communicative action associated with the mobile platform.

Abstract translation: 公开了用于提供机器学习服务的装置和方法。 在移动平台上执行的上下文识别系统可以接收包括与移动平台相关联的上下文相关数据的数据和从移动平台接收的应用相关数据。 上下文识别系统可以使用与移动平台相关联的上下文相关数据和/或从移动平台接收的应用相关数据来识别上下文。 基于所识别的至少一个上下文，上下文识别系统可以通过对接收到的数据执行机器学习操作来预测与移动平台相关联的交互动作。 可以接收指令来执行与移动平台相关联的交互动作。

公开(公告)号：WO2016069621A1

公开(公告)日：2016-05-06

申请号：PCT/US2015/057618

申请日：2015-10-27

Applicant: GOOGLE INC.

Inventor： NING, Huazhong ,  CHAI, Wei ,  ARADHYE, Hrishikesh

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30873 ,  G06N5/022 ,  G06N7/005

Abstract: A system and method of recommending a bundle of content items to a user, including storing a plurality of content items in a computer system, determining a respective co-selection score for each pair of content items among the plurality of content items, the co-selection score indicating a probability that a given pair of content items among the plurality of content items will both be downloaded by a user of the computer system, and outputting, to a first user, a plurality of content items comprising a sub-set of the plurality of content items.

Abstract translation: 一种向用户推荐一组内容项目的系统和方法，包括在计算机系统中存储多个内容项目，确定所述多个内容项目中的每对内容项目的相应共同选择分数， 选择分数，指示多个内容项目中的给定的一对内容项目都将由计算机系统的用户下载的概率，并且向第一用户输出包括该组件的子集的多个内容项目 多个内容项。

公开(公告)号：WO2012135335A1

公开(公告)日：2012-10-04

申请号：PCT/US2012/030929

申请日：2012-03-28

Applicant: GOOGLE INC. ,  GOSSWEILER, Rich ,  ECK, Douglas ,  ARADHYE, Hrishikesh ,  IZO, Tomas

Inventor： GOSSWEILER, Rich ,  ECK, Douglas ,  ARADHYE, Hrishikesh ,  IZO, Tomas

IPC: G06F17/30

CPC classification number: G06F17/30053 ,  G06F17/30749 ,  G06F17/30772 ,  G10H2240/081 ,  G10H2240/121 ,  G11B27/034 ,  G11B27/105

Abstract: Methods and systems for generating playlists of media items with audio data are disclosed. Based on two received feature sets, media items corresponding to each feature set are identified. Transition characteristics are also received. Based on the identified media Items and transition characteristics, a dynamic playlist is generated that transitions from media items having characteristics of the first feature set to media items having characteristics of the second feature set., Each time the playlist. is generated, it may include a different set of media items.

Abstract translation: 公开了用于产生具有音频数据的媒体项的播放列表的方法和系统。 基于两个接收到的特征集，识别与每个特征集相对应的媒体项。 也收到过渡特征。 基于所识别的媒体项目和转换特征，生成动态播放列表，其从具有第一特征集的特征的媒体项目转换到具有第二特征集的特征的媒体项目。每次播放列表。 被生成，它可以包括一组不同的媒体项。

公开(公告)号：EP2691882A1

公开(公告)日：2014-02-05

申请号：EP12712507.8

申请日：2012-03-28

Applicant: Google Inc.

Inventor： GOSSWEILER, Rich ,  ECK, Douglas ,  ARADHYE, Hrishikesh ,  IZO, Tomas

IPC: G06F17/30

CPC classification number: G06F17/30053 ,  G06F17/30749 ,  G06F17/30772 ,  G10H2240/081 ,  G10H2240/121 ,  G11B27/034 ,  G11B27/105

Abstract: Methods and systems for generating playlists of media items with audio data are disclosed. Based on two received feature sets, media items corresponding to each feature set are identified. Transition characteristics are also received. Based on the identified media items and transition characteristics, a dynamic playlist is generated that transitions from media items having characteristics of the first feature set to media items having characteristics of the second feature set. Each time the playlist is generated, it may include a different set of media items.

Abstract translation: 公开了用于产生具有音频数据的媒体项的播放列表的方法和系统。 基于两个接收到的特征集，识别与每个特征集相对应的媒体项。 也收到过渡特征。 基于所识别的媒体项目和转换特征，生成动态播放列表，其从具有第一特征集的特征的媒体项目转换到具有第二特征集的特征的媒体项目。 每当生成播放列表时，它可以包括不同的媒体项目集合。