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公开(公告)号：US10242251B2
公开(公告)日：2019-03-26
申请号：US15497454
申请日：2017-04-26
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Li Zhou , Yimin Song , Goran Predovic , Chaochao Cai , Liang Xu
Abstract: An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.
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12.发明申请公开(公告)号：US20190012681A1
公开(公告)日：2019-01-10
申请号：US15645184
申请日：2017-07-10
Applicant: Facebook, Inc.
Inventor： Luxi Guo , Aleksey Sergeyevich Fadeev , Liang Xu
Abstract: An online system predicts viewability of content items based on user interactions associated with the content items. The online system sends content items for display via client devices. The online system receives a request for a report based on viewability of the content item. The online system receives user interactions with the content item and determines a value of a user interaction metric based on the received user interactions. The online system provides the value of the user interaction metric as input to a correlation model to predict a value of the viewability metric for the content items. The online system may generates report based on the predicted viewability metric value.
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公开(公告)号：US20190007506A1
公开(公告)日：2019-01-03
申请号：US15636504
申请日：2017-06-28
Applicant: Facebook, Inc.
Inventor： Shiliyang Xu , Aleksey Sergeyevich Fadeev
CPC classification number: H04L67/22 , G06F16/24578 , G06F16/9535 , G06Q30/0255 , H04L67/02
Abstract: An online system receives tracking requests from client devices interacting with a website to analyze user interactions with the website. The website provides instructions with web pages sent to a client device that cause the client device to send tracking instructions to the online system. The tracking instructions included in web pages of the website may include deficiencies. For example, certain web pages may not include tracking instructions, the tracking instructions may identify web pages incorrectly, or may not provide significant data values with the tracking requests, and so on. The online system sends requests for web pages to the website, receives a plurality of web pages from the website, and determines a count of distinct web pages provided by the website. The online system determines a score for the web site indicating a quality of tracking instructions of the website based on various factors, including an aggregate value based on the distinct webpages of the website that include tracking instructions and the count of distinct web pages provided by the website. Based on this score, the online system generates a report describing a quality of the tracking instructions of the website.
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公开(公告)号：US10165063B2
公开(公告)日：2018-12-25
申请号：US15184974
申请日：2016-06-16
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Li Zhou
Abstract: An online system receives third party hashes for a plurality of targeted users and generates local hashes for one or more local users of the online system. The online system identifies as matched users those local users with local hashes that match those of the third party hashes. The online system generates one or more inferred identifiers for each of the one or more local users, the inferred identifiers being of the same type as the local unique identifiers, and the inferred identifiers generated based on characteristics of each corresponding local user. The online system identifies as inferred matched users at least one of the local users that have local hashes of corresponding inferred identifiers that match a third party hash of a third party unique identifier. The online system provides, to a third party system, a selection including the matched users and a selection including the inferred matched users.
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公开(公告)号：US20180101863A1
公开(公告)日：2018-04-12
申请号：US15288760
申请日：2016-10-07
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Liang Xu
CPC classification number: G06Q30/0248 , G06N20/00 , G06Q10/067 , G06Q30/0246
Abstract: Disclosed is an online system providing a fair measurement platform for people-based measurement of performance of an online campaign across different third-party systems that eliminates bias for certain third-party systems. The online system determines the measurable portion of the online campaign, where this is a portion of the campaign for which the online system knows the identities of the users and the online system knows that the impressions were viewable. The online system extrapolates with a model out from the measurable portion of the campaign to provide a broader measurement for the campaign including impressions for which identify coverage is incomplete and for which viewability is not available to provide a full, unbiased measurement for the online campaign across various third-party systems, regardless of whether they account for viewability, have identity coverage, or detect fraud.
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Patent Agency Ranking
公开(公告)号：US20170366500A1
公开(公告)日：2017-12-21
申请号：US15184974
申请日：2016-06-16
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Li Zhou
CPC classification number: H04L67/20 , H04L61/1564 , H04L61/2038 , H04L61/307 , H04L67/306 , H04W4/21
Abstract: An online system receives third party hashes for a plurality of targeted users and generates local hashes for one or more local users of the online system. The online system identifies as matched users those local users with local hashes that match those of the third party hashes. The online system generates one or more inferred identifiers for each of the one or more local users, the inferred identifiers being of the same type as the local unique identifiers, and the inferred identifiers generated based on characteristics of each corresponding local user. The online system identifies as inferred matched users at least one of the local users that have local hashes of corresponding inferred identifiers that match a third party hash of a third party unique identifier. The online system provides, to a third party system, a selection including the matched users and a selection including the inferred matched users.
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公开(公告)号：US10693980B2
公开(公告)日：2020-06-23
申请号：US15214226
申请日：2016-07-19
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Luxi Guo , Laszlo Juracz
IPC: G06F15/16 , H04L29/08 , G06F40/14 , G06F40/197
Abstract: A page of content includes instructions that, when executed by a client device presenting the page, obtain a visibility state of the page describing presentation of the page of content to a user and a time when the visibility state was obtained. Execution of the instructions also generates an identifier with which the visibility state and the time are associated. The instructions also obtained updated visibility states, obtains times when the updated visibility states are obtained, and associates the updated visibility states and their corresponding times with the identifier. The client device communicates the obtained visibility state, updated visibility states, and corresponding times to an online system in association with the identifier. Based on the times corresponding to the visibility state and the updated visibility states, the online system determines a duration the page was presented.
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公开(公告)号：US10691930B1
公开(公告)日：2020-06-23
申请号：US16506859
申请日：2019-07-09
Applicant: Facebook, Inc.
Inventor： Aleksey Sergeyevich Fadeev , Li Zhou , Yimin Song , Goran Predovic , Chaochao Cai , Liang Xu
Abstract: An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.
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公开(公告)号：US10581991B1
公开(公告)日：2020-03-03
申请号：US15882319
申请日：2018-01-29
Applicant: Facebook, Inc.
Inventor： Tobias Henry Wooldridge , Christine Jinha Hwang , Aleksey Sergeyevich Fadeev , Michael Scott Sulak , Amlesh Jayakumar
IPC: G06F15/173 , H04L29/08 , G06N20/00 , G06F16/95 , G06Q50/00
Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system predicts an accurate label for the web page that caused the tracking request to be generated. The online system uses the accurate label for generating reports describing user interactions with the website. The online system predicts the label of a web page received by the client device based on metadata extracted from markup language documents by the client device and provided to the online system via tracking requests. Examples of metadata extracted from markup language documents include labels and description of widgets in the web page that triggered the tracking request from the client device. The online system generates reports describing the quality of the tracking requests.
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公开(公告)号：US10257298B2
公开(公告)日：2019-04-09
申请号：US15879771
申请日：2018-01-25
Applicant: Facebook, Inc.
Inventor： Shiliyang Xu , Aleksey Sergeyevich Fadeev
IPC: G06F15/173 , H04L29/08 , G06Q30/02 , G06F17/30 , G06N99/00
Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system predicts an accurate label for the web page that caused the tracking request to be generated. The online system uses the accurate label for generating reports describing user interactions with the website. The online system determines a quality of tracking requests generated by the website based on various factors including a number of web pages of the website that generate tracking requests, the type of information provided by the tracking requests, and so on. The online system generates reports describing the quality of the tracking requests. The online system uses a metric indicating the quality of tracking requests of the website to determine whether to use predicted labels instead of labels provided by tracking requests for generating reports of the website.
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