公开(公告)号：US20170148068A1

公开(公告)日：2017-05-25

申请号：US15309614

申请日：2014-05-09

Applicant: Google Inc.

Inventor： Rio Akasaka ,  Etienne Deguine ,  Zhen Yu

IPC: G06Q30/02 ,  H04L29/08

CPC classification number: G06Q30/0277 ,  G06Q30/0241 ,  H04L67/32

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect a distribution phrase that is used to distribute a content item for a content sponsor is accessed. Entities that correspond to the distribution phrase are identified and data specifying the entities are provided to the content sponsor. Data specifying at least one of the entities to be used as an entity distribution parameter for the content item are received from the content sponsor. A content item request that includes a resource identifier is received. A determination is made based, at least in part, on the resource identifier, that the resource references the at least one of the entities. The content item is distributed in response to the determination that the resource references the at least one of the entities.

公开(公告)号：US20140095614A1

公开(公告)日：2014-04-03

申请号：US14024423

申请日：2013-09-11

Applicant: Google Inc.

Inventor： Sara Lee Su ,  Gregory Dardyk ,  Michael Brandt ,  Jonathan Mcphie ,  Umesh Shankar ,  Marlo James McGriff, II ,  Jose Javier Zuniga, JR. ,  Mor Miller ,  Travis Harrison Kroll Green ,  Tomer Amarilio ,  Brandon Kyle Trew ,  Hristo Stefanov Stefanov ,  Christoph Urs Oehler ,  Dan Fredinburg ,  Andrew Swerdlow ,  Etienne Deguine ,  Giora Unger ,  Max Michiel Loubser ,  Kyle Garner Harrison ,  Lars Fabian Kruger ,  Peter Tomlinson Klein ,  Si-Wai Yan Lai ,  Joseph Adam Taylor ,  Alison Michelle Huml ,  Tilke Mary Judd ,  Bao Lam ,  Geva Rechav ,  Mark Russell Thomas ,  Lauren A. Schmidt

IPC: H04L29/08

CPC classification number: H04L67/306 ,  G06Q50/02 ,  H04L67/02 ,  H04L67/22

Abstract: A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.

Abstract translation: 一种方法包括收集与用户相关联的多个在线活动实例，分析在线活动的多个实例以确定可能对应于用户的简档属性并且为用户生成简档丰富建议的特征 关于确定的特点。