公开(公告)号：US20160042069A1

公开(公告)日：2016-02-11

申请号：US14455798

申请日：2014-08-08

Applicant: FACEBOOK, INC.

Inventor： Russell Lee-Goldman ,  Lada Ariana Adamic ,  David M. Goldblatt ,  Yuval Kesten ,  Mark Andrew Rich ,  Nidhi Gupta ,  Amy Campbell ,  Andrew Rocco Tresolini Fiore

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/278 ,  G06F17/3043 ,  G06Q50/00

Abstract: In one embodiment, a method includes receiving unstructured text from a user of a social-networking system, determining whether the unstructured text includes a request for a recommendation, identifying one or more first entity names in the unstructured text, generating a structured query based upon the one or more first entity names, identifying, in the social graph, one or more second entity names corresponding to the structured query, and presenting the one or more second entity names and the unstructured text in a social context of the user. The unstructured text may include text of a post or message generated by the user on a social-networking system. A score may be generated based on the unstructured text to determine whether the text includes a request for recommendation using a machine-learning model based on comparison of the unstructured text to the one or more predetermined words associated with requests for recommendation.

Abstract translation: 在一个实施例中，一种方法包括从社交网络系统的用户接收非结构化文本，确定非结构化文本是否包括对推荐的请求，识别非结构化文本中的一个或多个第一实体名称，基于 所述一个或多个第一实体名称在所述社交图中标识与所述结构化查询相对应的一个或多个第二实体名称，以及在所述用户的社会环境中呈现所述一个或多个第二实体名称和所述非结构化文本。 非结构化文本可以包括用户在社交网络系统上生成的帖子或消息的文本。 可以基于非结构化文本来生成分数，以基于非结构化文本与与推荐请求相关联的一个或多个预定单词的比较来确定文本是否包括使用机器学习模型的推荐请求。

公开(公告)号：US10467238B2

公开(公告)日：2019-11-05

申请号：US14992815

申请日：2016-01-11

Applicant: Facebook, Inc.

Inventor： Maykel Andreas Louisa Jozef Anna Loomans ,  Michael Yehuda Rothschild ,  Tudor M. Trufinescu ,  Nidhi Gupta

IPC: G06F16/20 ,  G06F16/248

Abstract: The present disclosure provides a method including identifying an initial search result corresponding to a search query; concurrently displaying an animation for a context module comprising information associated with the initial search result and retrieving additional search results corresponding to the search query; and after the animation has completed, displaying information associated with the additional search results.

公开(公告)号：US10127316B2

公开(公告)日：2018-11-13

申请号：US14455798

申请日：2014-08-08

Applicant: Facebook, Inc.

Inventor： Russell Lee-Goldman ,  Lada Ariana Adamic ,  David M. Goldblatt ,  Yuval Kesten ,  Mark Andrew Rich ,  Nidhi Gupta ,  Amy Campbell ,  Andrew Rocco Tresolini Fiore

IPC: G06F17/30 ,  G06Q50/00 ,  G06F17/27

Abstract: In one embodiment, a method includes receiving unstructured text from a user of a social-networking system, determining whether the unstructured text includes a request for a recommendation, identifying one or more first entity names in the unstructured text, generating a structured query based upon the one or more first entity names, identifying, in the social graph, one or more second entity names corresponding to the structured query, and presenting the one or more second entity names and the unstructured text in a social context of the user. The unstructured text may include text of a post or message generated by the user on a social-networking system. A score may be generated based on the unstructured text to determine whether the text includes a request for recommendation using a machine-learning model based on comparison of the unstructured text to the one or more predetermined words associated with requests for recommendation.

公开(公告)号：US20170199916A1

公开(公告)日：2017-07-13

申请号：US14992815

申请日：2016-01-11

Applicant: Facebook, Inc.

Inventor： Maykel Andreas Louisa Jozef Anna Loomans ,  Michael Yehuda Rothschild ,  Tudor M. Trufinescu ,  Nidhi Gupta

IPC: G06F17/30

Abstract: In one embodiment, a method includes identifying an initial search result corresponding to a search query; concurrently: displaying an animation for a context module comprising information associated with the initial search result; and retrieving additional search results corresponding to the search query; and after the animation has completed, displaying information associated with the additional search results.