-
公开(公告)号:US10402419B1
公开(公告)日:2019-09-03
申请号:US15915856
申请日:2018-03-08
Applicant: Facebook, Inc.
Inventor: Yigal Dan Rubinstein , Sue Yee Young , Joshua Keith Duck , Sadi Khan , William R. Maschmeyer , Yuval Kesten , Keith L. Peiris , Kathryn Hymes
IPC: G06F16/242 , G06F16/2457 , G06F16/248 , G06F16/901 , G06F3/0482 , G06F3/0484 , G06Q30/02 , G06Q50/00
Abstract: In one embodiment, a method includes receiving, from a client system of a first user, a text query comprising a character string of n characters, generating a plurality of suggested queries based on the text query, where each suggested query comprises the character string of the text query and one or more query tokens, and where at least one of the query tokens of each suggested query partially matches the character string of the text query, and sending, to the client system responsive to receiving the nth character of the text query, instructions for displaying one or more suggested queries to the first user, where at least one of the suggested queries is displayed with a preview of one or more search results matching the suggested query.
-
公开(公告)号:US20160373397A1
公开(公告)日:2016-12-22
申请号:US14745001
申请日:2015-06-19
Applicant: Facebook, Inc.
Inventor: Yuval Kesten , Shie S. Erlich , Peter Wang Weng , Markus Christian Messner Chaney
CPC classification number: H04L51/32 , H04L51/16 , H04L67/02 , H04L67/1034 , H04L67/125 , H04L67/20 , H04L67/22 , H04L67/2842 , H04L67/306 , H04L67/42
Abstract: In one embodiment, a method includes accessing a post associated with a first user of an online social network; extracting n-grams from the post; determining whether the post is associated with a trending topic based on whether one or more of the extracted n-grams are associated with the trending topic; identifying one or more second users, wherein each second user is a first-degree connection of the first user within the online social network and wherein each second user is a subscribing user; generating, for each second user, a live social module comprising the post; and sending, to a system of each second user, the live social module.
Abstract translation: 在一个实施例中,一种方法包括访问与在线社交网络的第一用户相关联的帖子; 从帖子中提取n克; 基于所提取的n克中的一个或多个是否与趋势主题相关联来确定帖子是否与趋势主题相关联; 识别一个或多个第二用户,其中每个第二用户是所述在线社交网络内的所述第一用户的一级连接,并且其中每个第二用户是订阅用户; 为每个第二用户生成包括该帖子的现场社交模块; 并且向每个第二用户的系统发送现场社交模块。
-
公开(公告)号:US20160098752A1
公开(公告)日:2016-04-07
申请号:US14971989
申请日:2015-12-16
Applicant: Facebook, Inc.
Inventor: Yigal Dan Rubinstein , Sue Yee Young , Joshua Keith Duck , Sadi Khan , William R. Maschmeyer , Yuval Kesten , Keith L. Peiris , Kathryn Hymes
CPC classification number: G06Q30/0256 , G06F17/30392 , G06F17/30528 , G06F17/3053 , G06F17/30554 , G06F17/30867 , G06Q30/02 , G06Q50/01
Abstract: In one embodiment, a method includes receiving, from a client system of a first user, a text query inputted by the first user, generating a plurality of structured queries based on the text query, each structured query comprising references to one or more objects associated with the online social network, wherein at least one of the structured queries is a sponsored query comprising a reference to an object associated with an advertiser, and sending, to the client system responsive to receiving the text query, one or more suggested structured queries for display to the first user, wherein at least one of the sent structured queries is a sponsored query.
Abstract translation: 在一个实施例中,一种方法包括从第一用户的客户端系统接收由第一用户输入的文本查询,基于文本查询生成多个结构化查询,每个结构化查询包括对相关联的一个或多个对象的引用 其中所述结构化查询中的至少一个是包括对与广告商相关联的对象的引用的赞助查询,以及响应于接收到所述文本查询向所述客户端系统发送一个或多个建议的结构化查询, 显示给第一用户,其中至少一个发送的结构化查询是赞助查询。
-
公开(公告)号:US09753995B2
公开(公告)日:2017-09-05
申请号:US14971959
申请日:2015-12-16
Applicant: Facebook, Inc.
Inventor: Yigal Dan Rubinstein , Sue Yee Young , Joshua Keith Duck , Sadi Khan , William R. Maschmeyer , Yuval Kesten , Keith L. Peiris , Kathryn Hymes
CPC classification number: G06F17/30554 , G06F17/30392 , G06F17/30528 , G06F17/3053 , G06F17/30958 , G06Q30/02 , G06Q50/01 , H04L51/32 , H04L67/02
Abstract: In one embodiment, a method includes receiving, from a client system of a user, an indication of the user accessing a query field at the client device of the user, generating a plurality of structured queries that each comprise references to one or more objects associated with the online social network, calculating a score for each structured query based on one or more user-engagement factors, and sending, to the client system responsive to the indication of the user accessing the query field, one or more suggested structured queries for display to the user, each suggested structured query having a score greater than a threshold score.
-
公开(公告)号:US20170149852A1
公开(公告)日:2017-05-25
申请号:US14951382
申请日:2015-11-24
Applicant: Facebook, Inc.
Inventor: Aryeh Selekman , Diana Hsu , Yuval Kesten , Alexander James Himel , Daniel S. Chai , Ray C. He , David Kao , Justin David Stahl , Markus Christian Messner-Chaney
Abstract: Systems, methods, and non-transitory computer readable media are configured to provide content items, generated by at least one of connections or a group of a user, relating to an event for presentation on a page of a social networking system dedicated to the event. A live feed of information relating to the event is provided for presentation on the page. A summary of segments of the event is provided for presentation on the page.
-
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:US09223838B2
公开(公告)日:2015-12-29
申请号:US14052596
申请日:2013-10-11
Applicant: Facebook, Inc.
Inventor: Yigal Dan Rubinstein , Sue Yee Young , Joshua Keith Duck , Sadi Khan , William R. Maschmeyer , Yuval Kesten , Keith L. Peiris , Kathryn Hymes
CPC classification number: G06Q30/0256 , G06F17/30392 , G06F17/30528 , G06F17/3053 , G06F17/30554 , G06F17/30867 , G06Q30/02 , G06Q50/01
Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges, identifying a node corresponding to an advertiser, generating a plurality of structured queries, where each structured query comprises reference to nodes and edges of the social graph, and where at least one structured query is a sponsored query comprising a reference to the identified node and one or more edges that are connected to the identified node, and sending one or more of the structured queries to a user for display, where at least one of the sent structured queries is a sponsored query.
Abstract translation: 在一个实施例中,一种方法包括访问包括多个节点和边缘的社交图,标识与广告主对应的节点,生成多个结构化查询,其中每个结构化查询包括对社交图的节点和边缘的引用, 并且其中至少一个结构化查询是赞助查询,其包括对所识别的节点的引用和连接到所标识的节点的一个或多个边缘,以及将一个或多个结构化查询发送给用户进行显示,其中至少一个 发送的结构化查询是一个赞助查询。
-
8.
公开(公告)号:US20140040285A1
公开(公告)日:2014-02-06
申请号:US14052536
申请日:2013-10-11
Applicant: Facebook, Inc.
Inventor: Yigal Dan Rubinstein , Sue Yee Young , Joshua Keith Duck , Sadi Khan , William R. Maschmeyer , Yuval Kesten , Keith L. Peiris , Kathryn Hymes
IPC: G06F17/30
CPC classification number: G06F17/30554 , G06F17/30392 , G06F17/30528 , G06F17/3053 , G06F17/30958 , G06Q30/02 , G06Q50/01 , H04L51/32 , H04L67/02
Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges, generating a plurality of structured queries, where each structured query comprises references to nodes and edges of the social graph, calculating a score for each structured query based on user-engagement factors, and sending each structured query having a score greater than a threshold score to a first user for display.
Abstract translation: 在一个实施例中,一种方法包括访问包括多个节点和边缘的社交图,生成多个结构化查询,其中每个结构化查询包括对社交图的节点和边缘的引用,基于每个结构化查询计算得分 关于用户参与因素,并且将具有大于阈值分数的分数的每个结构化查询发送给第一用户以进行显示。
-
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
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:US20170185689A1
公开(公告)日:2017-06-29
申请号:US15456241
申请日:2017-03-10
Applicant: Facebook, Inc.
Inventor: Girish Kumar , Yuval Kesten , Xiao Li , Fabio Lopiano
IPC: G06F17/30
Abstract: In one embodiment, a method includes receiving a search query input comprising one or more n-grams; parsing the search query input to identify keywords; generating query commands for the keywords. Each query command may specify: a particular object-type; one or more identifiers of one or more objects that match the search query input; and one or more types of relationships with respect to the objects. The method may further include searching a particular vertical that stores objects of the particular object-type having a relationship of the type of relationship with respect to one or more of the objects; generating a plurality of search-result modules corresponding to the query commands, each search-result module comprising references to objects of the particular object-type specified by the query command; and sending, to a client device, instructions for presenting an interface comprising one or more of the search-result modules.
-
-
-
-
-
-
-
-
-