公开(公告)号：US20150074191A1

公开(公告)日：2015-03-12

申请号：US14024020

申请日：2013-09-11

Applicant: Yahoo! Inc.

Inventor： Andrew Feng ,  N. Nachiappan ,  Bruno M. Fernandez-Ruiz ,  Lin Shen

IPC: H04L29/06

CPC classification number: H04L67/26 ,  H04L63/102

Abstract: A unified end-user notification platform delivers event alerts to different types of clients including mobile devices and HTTP clients. Users can subscribe to a plurality of notification channels and select from the associated various delivery options via a single user interface. The events are received by the unified notification platform which matches the received events with the user subscription data to identify subscribers and their respective delivery options. Corresponding event alerts are generated and delivered based on the user or subscriber specified options. Multiple event alerts corresponding to public and private data notification channels are provided to a user device via a single connection.

Abstract translation: 统一的终端用户通知平台向不同类型的客户端（包括移动设备和HTTP客户端）提供事件警报。 用户可以订阅多个通知通道，并通过单个用户界面从相关联的各种递送选项中进行选择。 事件由统一通知平台接收，该平台将接收到的事件与用户订阅数据相匹配，以识别用户及其相应的传递选项。 根据用户或用户指定的选项生成和传送相应的事件警报。 通过单个连接将与公共和私人数据通知通道相对应的多个事件警报提供给用户设备。

公开(公告)号：US20170220949A1

公开(公告)日：2017-08-03

申请号：US15009968

申请日：2016-01-29

Applicant: Yahoo! Inc.

Inventor： Andrew Feng ,  Jun Shi ,  Mridul Jain ,  Peter Cnudde

IPC: G06N99/00

CPC classification number: G06N20/00

Abstract: The present teaching relates to distributed deep machine learning on a cluster. In one example, a request is received for estimating one or more parameters associated with a machine learning model on a cluster including a plurality of nodes. A set of data is obtained to be used for estimating the one or more parameters. The set of data is divided into a plurality of sub-sets of data, each of which corresponds to one of the plurality of nodes. Each sub-set of data is allocated to a corresponding node for estimating values of the one or more parameters based on the sub-set of data. Estimated values of the one or more parameters obtained based on a corresponding sub-set of data allocated to the node, are received from each of the plurality of nodes. The one or more parameters of the machine learning model are estimated based on the estimated values of the one or more parameters generated by at least some of the plurality of nodes.

公开(公告)号：US20170300828A1

公开(公告)日：2017-10-19

申请号：US15098415

申请日：2016-04-14

Applicant: Yahoo! Inc.

Inventor： Andrew Feng ,  Erik Ordentlich ,  Lee Yang ,  Peter Cnudde

IPC: G06N99/00 ,  G06N5/04 ,  G06N7/00 ,  H04L29/08

Abstract: The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.