公开(公告)号：US09679043B1

公开(公告)日：2017-06-13

申请号：US14865467

申请日：2015-09-25

Applicant: Google Inc.

Inventor： Chris Navrides ,  David Li-Kuang Chen

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F17/30595 ,  G06F17/2705 ,  G06F17/30867 ,  G06F17/30958

Abstract: Systems and methods of the present disclosure relate generally to facilitating temporal content selection. In one implementation, the system parses a first plurality of online documents to generate a first data structure comprising historical keyword co-occurrences. The system can generate, via parsing a second plurality of online documents different from the first plurality of online documents, a second data structure comprising keyword co-occurrences not in the first data structure. The system can temporally link a first keyword of the second data structure with a second keyword of the second data structure. The second keyword may co-occur with the first keyword on a subset of the second plurality of online documents. The system can the temporally linked second keyword to a content selection server.

公开(公告)号：US09146980B1

公开(公告)日：2015-09-29

申请号：US13924759

申请日：2013-06-24

Applicant: Google Inc.

Inventor： Chris Navrides ,  David Li-Kuang Chen

IPC: G06F17/30

CPC classification number: G06F17/30595 ,  G06F17/2705 ,  G06F17/30867 ,  G06F17/30958

Abstract: Systems and methods of the present disclosure relate generally to facilitating temporal content selection. In one implementation, the system parses a first plurality of online documents to generate a first data structure comprising historical keyword co-occurrences. The system can generate, via parsing a second plurality of online documents different from the first plurality of online documents, a second data structure comprising keyword co-occurrences not in the first data structure. The system can temporally link a first keyword of the second data structure with a second keyword of the second data structure. The second keyword may co-occur with the first keyword on a subset of the second plurality of online documents. The system can the temporally linked second keyword to a content selection server.

Abstract translation: 本公开的系统和方法一般涉及促进时间内容选择。 在一个实现中，系统解析第一组多个在线文档以生成包括历史关键字共同出现的第一数据结构。 该系统可以通过解析不同于第一多个在线文档的第二多个在线文档来生成包括不在第一数据结构中的关键字共同出现的第二数据结构。 系统可以将第二数据结构的第一关键字与第二数据结构的第二关键字暂时链接。 第二个关键字可以与第二个多个在线文档的子集上的第一个关键词共同出现。 该系统可以将时间上关联的第二关键字与内容选择服务器相关联。

公开(公告)号：US20150178266A1

公开(公告)日：2015-06-25

申请号：US14137597

申请日：2013-12-20

Applicant: Google Inc.

Inventor： Chris Navrides ,  Tuna Toksoz

IPC: G06F17/27

CPC classification number: G06F17/278 ,  G06F16/345

Abstract: An entity-based summary of an electronic book (e-book) is presented to a user of a client device. The e-book to be summarized is identified and multiple entities, e.g., characters, events and dates, referenced in the identified e-book are also identified. A computer server is adapted to determine a type of the e-book to be summarized and to identify one or more external data sources based on the determined type of the e-book, where an external data source provides information about entities in the identified e-book. Upon receiving a request for an entity-based summary of the e-book from the client device, the computer server is adapted to generate an entity-based summary of the e-book, which describes identified entities referenced in a range of the e-book specified in the request. The generated entity-based summary is presented to the client device responsive to the request.

Abstract translation: 电子书（电子书）的基于实体的摘要被呈现给客户端设备的用户。 识别要总结的电子书，并且还识别在所识别的电子书中引用的多个实体，例如字符，事件和日期。 计算机服务器适于确定要总结的电子书的类型，并且基于所确定的电子书的类型来识别一个或多个外部数据源，其中外部数据源提供关于所识别的e中的实体的信息 -书。 在从客户端设备接收到电子书的基于实体的摘要的请求之后，计算机服务器适于生成电子书的基于实体的摘要，该电子书描述了在e- 在请求中指定的书。 生成的基于实体的摘要响应于该请求被呈现给客户端设备。

公开(公告)号：US08898166B1

公开(公告)日：2014-11-25

申请号：US14136334

申请日：2013-12-20

Applicant: Google Inc.

Inventor： Chris Navrides ,  David Li-Kuang Chen

IPC: G06F17/00 ,  G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30595 ,  G06F17/2705 ,  G06F17/30867 ,  G06F17/30958

Abstract: Systems and methods of the present disclosure relate generally to facilitating temporal content selection. In one implementation, the system parses a first plurality of online documents to generate a first data structure comprising historical keyword co-occurrences. The system can generate, via parsing a second plurality of online documents different from the first plurality of online documents, a second data structure comprising keyword co-occurrences not in the first data structure. The system can temporally link a first keyword of the second data structure with a second keyword of the second data structure. The second keyword may co-occur with the first keyword on a subset of the second plurality of online documents. The system can the temporally linked second keyword to a content selection server.

Abstract translation: 本公开的系统和方法一般涉及促进时间内容选择。 在一个实现中，系统解析第一组多个在线文档以生成包括历史关键字共同出现的第一数据结构。 该系统可以通过解析不同于第一多个在线文档的第二多个在线文档来生成包括不在第一数据结构中的关键字共同出现的第二数据结构。 系统可以将第二数据结构的第一关键字与第二数据结构的第二关键字暂时链接。 第二个关键字可以与第二个多个在线文档的子集上的第一个关键词共同出现。 该系统可以将时间上关联的第二关键字与内容选择服务器相关联。