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公开(公告)号：US10152544B1
公开(公告)日：2018-12-11
申请号：US14841136
申请日：2015-08-31
Applicant: Facebook, Inc.
Inventor： Adrien Thomas Friggeri , Bogdan State , Lada Ariana Adamic , Erich James Owens
Abstract: Some embodiments include a method of detecting and analyzing virally propagating subject matter in a social networking system. The method includes processing user activities in the social networking system through a relevancy filter to identify a subset of user activities that are relevant to a viral propagation study. The social networking system can construct, in response to selecting a user activity as a graph exploration seed, a user activity cascade by exploring the social graph in the social networking system, starting from a social network node corresponding to the user activity. The user activity cascade can comprise social network nodes found during the graph exploration. The social networking system can determine that the user activity cascade is virally propagating based at least upon a total size of the user activity cascade.
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公开(公告)号：US20180225703A1
公开(公告)日：2018-08-09
申请号：US15425515
申请日：2017-02-06
Applicant: Facebook, Inc.
Inventor： Bogdan State , Mui Thu Tran , Cristele Lartigue , Janet Lynn Wiener , Erik Bjorn Vorhes
CPC classification number: G06Q30/0242 , G06Q50/01
Abstract: A method of generating a synthetic content feed includes receiving a request to display a synthetic content feed for a class of users of a social networking system, identifying a first user and a second user based on profile data for the first user and second user in the social networking system, constructing a first post of synthetic content feed representative of a first post in the content feed of the first user, constructing a second post of synthetic content feed representative of a second post in the content feed of the second user, and providing the synthetic content feed for display.
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公开(公告)号：US20170193073A1
公开(公告)日：2017-07-06
申请号：US14985230
申请日：2015-12-30
Applicant: Facebook, Inc.
Inventor： Jonathan Tannen , Bogdan State
CPC classification number: H04L67/306 , G06F16/35 , G06F16/9537 , H04L67/02 , H04L67/327
Abstract: In one embodiment, a method includes a computing device receiving postings from users of an online social networking system. A postings may include location data along with one or more tags that may describe the content of the posting. The computing device may identify regions and subregions from which the postings originated, and may determine a distribution of the tags according to two data dimensions: the ubiquity of the tags across the regions, and the ubiquity of the tags across the subregions. Based on the distribution, the computing device may create a neighborhood characterization to accurately describe one or more subregions. The computing device may also determine applications for the neighborhood characterization.
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公开(公告)号：US10803361B2
公开(公告)日：2020-10-13
申请号：US15593305
申请日：2017-05-11
Applicant: Facebook, Inc.
Inventor： Vincent Gonguet , Bogdan State
Abstract: Systems, methods, and non-transitory computer-readable media can determine training data describing respective relationships between a set of map tiles, the map tiles collectively representing a given geographic region. A model can be trained to predict a likelihood of a pair of map tiles corresponding to one or more geographic classifications based at least in part on the training data. Polygons that correspond to respective sub-regions within the geographic region can be determined based at least in part on the model.
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公开(公告)号：US10437876B2
公开(公告)日：2019-10-08
申请号：US15156843
申请日：2016-05-17
Applicant: Facebook, Inc.
Inventor： Bogdan State , Aude Hofleitner , Andreas Gros
Abstract: Systems, methods, and non-transitory computer-readable media can acquire shape data representative of one or more polygons. At least one serialization format can be produced based on the shape data. The at least one serialization format can be packaged into a proprietary package that is representative of the one or more polygons. At least a portion of the proprietary package can be utilized for one or more applications.
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Patent Agency Ranking
公开(公告)号：US20190303391A1
公开(公告)日：2019-10-03
申请号：US16379436
申请日：2019-04-09
Applicant: Facebook, Inc.
Inventor： Ehud Weinsberg , Li Yang , Bogdan State , Amaç Herdagdelen , Thomas Frederick Dimson , Bai Xiao , Danilo Torres de Sa Resende
IPC: G06F16/28
Abstract: Systems, methods, and non-transitory computer-readable media can acquire a set of labels associated with a set of content items. Each label in the set of labels can be associated with at least one content item in the set of content items. It can be determined that at least two labels, out of the set of labels, are related. The at least two labels can be determined to be related based on at least one of a co-occurrence metric associated with the at least two labels or a topic similarity metric associated with the at least two labels. One label can be selected, out of the at least two labels, as being representative of the at least two labels.
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公开(公告)号：US11030238B2
公开(公告)日：2021-06-08
申请号：US16702371
申请日：2019-12-03
Applicant: Facebook, Inc.
Inventor： Thomas Frederick Dimson , Bogdan State , Shankar Kalyanaraman , Hamdan Azhar
IPC: G06F16/583
Abstract: One or more embodiments of the disclosure include a character management system that determines and utilizes contextual meaning with regard to standardized image characters. In particular, the character management system determines contextual meaning with regard to standardized characters based on the manner in which the standardized characters are utilized in a repository of electronic documents. Moreover, the character management system can utilize the contextual meaning to search, recommend, analyze, and translate with regard to the use of standardized image characters.
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公开(公告)号：US10334072B2
公开(公告)日：2019-06-25
申请号：US14985230
申请日：2015-12-30
Applicant: Facebook, Inc.
Inventor： Jonathan Tannen , Bogdan State
IPC: H04L29/08 , G06F16/9537 , G06F16/35
Abstract: In one embodiment, a method includes a computing device receiving postings from users of an online social networking system. A postings may include location data along with one or more tags that may describe the content of the posting. The computing device may identify regions and subregions from which the postings originated, and may determine a distribution of the tags according to two data dimensions: the ubiquity of the tags across the regions, and the ubiquity of the tags across the subregions. Based on the distribution, the computing device may create a neighborhood characterization to accurately describe one or more subregions. The computing device may also determine applications for the neighborhood characterization.
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公开(公告)号：US20180336582A1
公开(公告)日：2018-11-22
申请号：US15596917
申请日：2017-05-16
Applicant: Facebook, Inc.
Inventor： Vincent Gonguet , Bogdan State
Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of clusters using sample content items in which a set of user features are represented, the sample content items being clustered based at least in part on their similarity to one another; obtain one or more content items that capture a set of user features corresponding to a given user; determine that the user corresponds to a given cluster in the set of clusters based at least in part on the features of the user; and assign an avatar associated with the cluster to the user.
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10.发明申请公开(公告)号：US20180144349A1
公开(公告)日：2018-05-24
申请号：US15359493
申请日：2016-11-22
Applicant: Facebook, Inc.
Inventor： Aude Hofleitner , Bogdan State , Vincent Gonguet , Andreas Gros , Timothee Charles Carnus
CPC classification number: G06Q30/0201 , G06Q50/01 , H04L41/142
Abstract: Systems, methods, and non-transitory computer readable media can determine a geographical region associated with a service provider. An average value of a metric for subscribers of the service provider in the geographical region can be determined, where the subscribers include users of a system. A demographic subset of the subscribers can be determined based on one or more attributes associated with the subscribers. A skew score for the demographic subset can be determined, where the skew score is indicative of a variation of the demographic subset from the average value of the metric.
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