公开(公告)号：US20150006632A1

公开(公告)日：2015-01-01

申请号：US14064888

申请日：2013-10-28

Applicant: Google Inc.

Inventor： Andrew Tomkins ,  Tristan Harris ,  Shanmugasundaram Ravikumar ,  Bo Pang ,  Sujith Ravi ,  Can Sar ,  Angelo DiNardi

IPC: H04L12/58

CPC classification number: H04L51/20

Abstract: Methods and apparatus related to receiving user task information indicative of an intended action of a user, determining additional information related to completion of the intended action, determining a completion step for the intended action based on the additional information, and providing the completion step to the user. The user task information may be received from a first source and the additional information may be determined from one or more additional sources that are distinct from the first source. Additional sources may include, for example, user data associated with the user and/or one or more non-user specific databases such as an entity database. Whether a completion step is provided to a user may be dependent on one or more factors such as, for example, the source of the user task information, the source of the additional information, and/or a trigger associated with the completion step.

Abstract translation: 与指示用户的预期动作的用户任务信息的接收相关的方法和装置，确定与预期动作的完成相关的附加信息，基于附加信息确定预期动作的完成步骤，并将完成步骤提供给 用户。 可以从第一源接收用户任务信息，并且可以从与第一源不同的一个或多个附加源来确定附加信息。 附加源可以包括例如与用户相关联的用户数据和/或一个或多个非用户特定数据库，例如实体数据库。 是否向用户提供完成步骤可以取决于一个或多个因素，例如，用户任务信息的来源，附加信息的来源和/或与完成步骤相关联的触发。

公开(公告)号：US20170293696A1

公开(公告)日：2017-10-12

申请号：US15095517

申请日：2016-04-11

Applicant: Google Inc.

Inventor： Mike Bendersky ,  Vijay Garg ,  Sujith Ravi ,  Cheng Li

IPC: G06F17/30 ,  G06N99/00 ,  G06Q10/10

CPC classification number: G06F16/9024 ,  G06F16/24578 ,  G06F16/951 ,  G06N5/022 ,  G06N20/00 ,  G06Q10/1095

Abstract: A computing device may generate, a graph that includes a plurality of nodes, wherein the plurality of nodes includes a plurality of entity nodes representing a plurality of entities and a plurality of feature nodes representing a plurality of features, and wherein each of the plurality of entity nodes is connected in the graph to one or more of the plurality of feature nodes. The computing device may perform label propagation to associate a distribution of labels with each of the plurality of nodes. The computing device may be configured to receive an indication of at least one of a feature of interest or an entity of interest. The computing device may further be configured to output an indication of one or more related entities that are related to the feature of interest or the entity of interest.