公开(公告)号：US20200008008A1

公开(公告)日：2020-01-02

申请号：US16565295

申请日：2019-09-09

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Wei Zhang ,  Nicolas Scheffer ,  Richard Calvi ,  Xiaohua Yan

IPC: H04W4/021 ,  H04L29/08 ,  G06F16/9535 ,  G06F16/9032

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is at a first geographic location, and determine that the first user is traveling based on the first user being at the first geographical location. The social-networking system may then identify one or more second geographic locations within a threshold distance from the first geographic location, the second geographic locations being determined based on a travel-recommendation model. The social-networking system may determine one or more itinerary constraints associated with the first user, generate a travel itinerary for the first user based on the first geographic location, the second geographic locations, and the itinerary constraints associated with the first user. The social-networking system may then send, to the client system of the first user, the travel itinerary for display to the first user.

公开(公告)号：US20190200050A1

公开(公告)日：2019-06-27

申请号：US15850746

申请日：2017-12-21

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Shengbo Guo

IPC: H04N21/234 ,  G06Q50/00 ,  G06F17/21 ,  G06F17/27 ,  G06K9/00

Abstract: Exemplary embodiments relate to the automatic generation of captions for visual media, including photos, photo albums, non-live video, and live video. The visual media may be analyzed to determine contextual information (such as location information, people and objects in the video, time, etc.). A system may integrate this information with information from the user's social network and a personalized language model built using public-facing language from the user. The personalized language model captures the user's way of speaking to make the generated captions more detailed and personalized. The language model may account for the context in which the video was generated. The captions maybe used to simplify and encourage content generation, and may also be used to index visual media, rank the media, and recommend the media to users likely to engage with the media.

公开(公告)号：US20190197399A1

公开(公告)日：2019-06-27

申请号：US15855946

申请日：2017-12-27

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Wenhai Yang ,  Ou Jin

IPC: G06N3/08 ,  G06F17/30

CPC classification number: G06N3/08 ,  G06F16/951 ,  G06Q50/01

Abstract: In one embodiment, a method includes accessing an input vector representing an input post, wherein: the vector space comprises clusters each associated with a topic; each cluster was determined based on a clustering of training-page vectors corresponding to training pages that each comprise training posts, each training post submitted by a user to a training page and comprises content selected by the user; and each training-page vector was generated by an ANN that was trained, based on the training posts of training pages associated with the ANN, to receive a post and then output a probability that the received post is related to the training posts of the training pages; determining that the input vector is located within a particular cluster in the vector space; and determining a topic of the input post based on the topic associated with the particular cluster that the input vector is located within.

公开(公告)号：US09990361B2

公开(公告)日：2018-06-05

申请号：US14878794

申请日：2015-10-08

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Fei Huang ,  Xiaolong Wang

IPC: G06F17/28 ,  G06F17/27 ,  G06F17/20 ,  G06F17/21

CPC classification number: G06F17/289 ,  G06F17/271 ,  G06F17/2785 ,  G06F17/2809

Abstract: Snippets can be represented in a language-independent semantic manner. Each portion of a snippet can be represented by a combination of a semantic representation and a syntactic representation, each in its own dimensional space. A snippet can be divided into portions by constructing a dependency structure based on relationships between words and phrases. Leaf nodes of the dependency structure can be assigned: A) a semantic representation according to pre-defined word mappings and B) a syntactic representation according to the grammatical use of the word. A trained semantic model can assign to each non-leaf node of the dependency structure a semantic representation based on a combination of the semantic and syntactic representations of the corresponding lower-level nodes. A trained syntactic model can assign to each non-leaf node a syntactic representation based on a combination of the syntactic representations of the corresponding lower-level nodes and the semantic representation of that node.

公开(公告)号：US20180089178A1

公开(公告)日：2018-03-29

申请号：US15823492

申请日：2017-11-27

Applicant: Facebook, Inc.

Inventor： Matthias Gerhard Eck ,  Ying Zhang ,  Yury Andreyevich Zemlyanskiy ,  Alexander Waibel

IPC: G06F17/28 ,  G06F17/30

CPC classification number: G06F17/289 ,  G06F16/951 ,  G06F17/2818 ,  G06F17/2827

Abstract: Technology is disclosed for mining training data to create machine translation engines. Training data can be mined as translation pairs from single content items that contain multiple languages; multiple content items in different languages that are related to the same or similar target; or multiple content items that are generated by the same author in different languages. Locating content items can include identifying potential sources of translation pairs that fall into these categories and applying filtering techniques to quickly gather those that are good candidates for being actual translation pairs. When actual translation pairs are located, they can be used to retrain a machine translation engine as in-domain for social media content items.

公开(公告)号：US20180035254A1

公开(公告)日：2018-02-01

申请号：US15728723

申请日：2017-10-10

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Wei Zhang ,  Nicolas Scheffer ,  Richard Calvi ,  Xiaohua Yan

IPC: H04W4/02 ,  G06F17/30 ,  H04L29/08 ,  G06Q50/00 ,  G06Q30/02

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is accessing a travel-recommendation interface, receive an indication of a first geographic location, and identify one or more second geographic locations within a threshold distance from the first geographic location, the one or more second geographic locations being determined based on a travel-recommendation model associated with the first user. The social-networking system may generate one or more travel recommendations comprising at least one of the identified one or more second geographic locations, and send, to the client system of the first user, instructions for presenting the travel-recommendation interface, wherein the travel-recommendation interface comprises a map labeling one or more of the second geographic locations representing the travel recommendations.

公开(公告)号：US20180004734A1

公开(公告)日：2018-01-04

申请号：US15696121

申请日：2017-09-05

Applicant: Facebook, Inc.

Inventor： Kay Rottmann ,  Fei Huang ,  Ying Zhang

IPC: G06F17/28 ,  G06F17/27

CPC classification number: G06F17/2854 ,  G06F17/275 ,  G06F17/2809 ,  G06F17/289

Abstract: Technology is disclosed for snippet pre-translation and dynamic selection of translation systems. Pre-translation uses snippet attributes such as characteristics of a snippet author, snippet topics, snippet context, expected snippet viewers, etc., to predict how many translation requests for the snippet are likely to be received. An appropriate translator can be dynamically selected to produce a translation of a snippet either as a result of the snippet being selected for pre-translation or from another trigger, such as a user requesting a translation of the snippet. Different translators can generate high quality translations after a period of time or other translators can generate lower quality translations earlier. Dynamic selection of translators involves dynamically selecting machine or human translation, e.g., based on a quality of translation that is desired. Translations can be improved over time by employing better machine or human translators, such as when a snippet is identified as being more popular.

公开(公告)号：US09830386B2

公开(公告)日：2017-11-28

申请号：US14586049

申请日：2014-12-30

Applicant: Facebook, Inc.

Inventor： Fei Huang ,  Kay Rottmann ,  Ying Zhang ,  Matthias Gerhard Eck

IPC: G06F17/30 ,  G06Q50/10 ,  G06F17/27 ,  G06Q30/02 ,  G06Q50/00

CPC classification number: G06F17/30705 ,  G06F17/2785 ,  G06Q30/02 ,  G06Q50/01 ,  G06Q50/10

Abstract: Technology is discussed herein for identifying comparatively trending topics between groups of posts. Groups of posts can be selected based on parameters such as author age, location, gender, etc., or based on information about content items such as when they were posted or what keywords they contain. Topics, as one or more groups of words, can each be given a rank score for each group based on the topic's frequency within each group. A difference score for selected topics can be computed based on a difference between the rank score for the selected topic in each of the groups. When the difference score for a selected topic is above a specified threshold, that selected topic can be identified as a comparatively trending topic.

公开(公告)号：US20170046802A1

公开(公告)日：2017-02-16

申请号：US14822721

申请日：2015-08-10

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Wei Zhang ,  Nicolas Scheffer ,  Richard Calvi ,  Xiaohua Yan

IPC: G06Q50/14 ,  G06F17/30 ,  G06Q50/00

CPC classification number: G06Q50/14 ,  G06F16/9535 ,  G06F16/9537 ,  G06Q50/01

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is at a first geographic location, and determine that the first user is traveling based on the first user being at the first geographical location. The social-networking system may then identify one or more second geographic locations within a threshold distance from the first geographic location, the second geographic locations being determined based on a travel-recommendation model. The social-networking system may determine one or more itinerary constraints associated with the first user, generate a travel itinerary for the first user based on the first geographic location, the second geographic locations, and the itinerary constraints associated with the first user. The social-networking system may then send, to the client system of the first user, the travel itinerary for display to the first user.

Abstract translation: 在一个实施例中，社交网络系统可以从在线社交网络的第一用户的客户端系统接收第一用户处于第一地理位置的指示，并且基于该第一用户确定第一用户正在旅行 第一个用户位于第一个地理位置。 然后，社交网络系统可以在距离第一地理位置的阈值距离内识别一个或多个第二地理位置，基于旅行推荐模型来确定第二地理位置。 社交网络系统可以确定与第一用户相关联的一个或多个行程约束，基于第一地理位置，第二地理位置以及与第一用户相关联的行程约束，为第一用户生成旅行行程。 然后，社交网络系统可以向第一用户的客户端系统发送用于向第一用户显示的旅行行程。

公开(公告)号：US20160188661A1

公开(公告)日：2016-06-30

申请号：US14586074

申请日：2014-12-30

Applicant: Facebook, Inc.

Inventor： Fei Huang ,  Kay Rottmann ,  Ying Zhang ,  Matthias Gerhard Eck

IPC: G06F17/30

CPC classification number: G06F17/30991 ,  G06F17/30979

Abstract: Technology is discussed herein for identifying trending actions within a group of posts matching a query. A group of posts can be selected based on specified actions, action targets, or parameters such as author age, location, gender, when the posts were posted or what keywords they contain. Selected posts can be divided into sentences and a dependency structure can be created for each sentence classifying portions of the sentence as actions or action targets. Statistics can be generated for each sentence or post indicating whether it matches the actions, action targets, or other parameters specified in the query. Based on these statistics, additional information can be gathered to respond to questions posed in the query.

Abstract translation: 本文讨论了技术，用于识别匹配查询的一组帖子内的趋势动作。 可以根据指定的操作，操作目标或参数（如作者年龄，位置，性别，发布信息或包含哪些关键字）选择一组帖子。 选定的帖子可以分为句子，并且可以为每个句子创建依赖关系结构，将句子的部分分类为动作或动作目标。 可以为每个句子或者后缀生成统计信息，指出它是否与查询中指定的动作，动作目标或其他参数相匹配。 基于这些统计数据，可以收集附加信息来回应查询中提出的问题。