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公开(公告)号:US10373271B2
公开(公告)日:2019-08-06
申请号:US15446779
申请日:2017-03-01
Applicant: Facebook, Inc.
Inventor: Matthew Feldman , Jonathan Mooser , Cassidy Jake Beeve-Morris , Halil Bayrak , Aishwarya Rajagopal , Shuo Li , Leqiang Li , Zachary Zhang
Abstract: An online system applies content policies regulating presentation of sponsored content to its users. For example, content policies may prevent the presentation of sponsored content items in certain positions content feeds. The online system may relax a content policy when generating a content feed for a user based on characteristics of a user. For example, the online system generates a model determining a tolerance of the user for sponsored content, and relaxes one or more content policies if the tolerance of the user for sponsored content equals or exceeds a threshold. As another example, the online system determines whether to relax one or more content policies based on a comparison of a historical amount of compensation received from the user and an expected amount of compensation from presenting content items violating a content policy.
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公开(公告)号:US20180336574A1
公开(公告)日:2018-11-22
申请号:US15596368
申请日:2017-05-16
Applicant: Facebook, Inc.
Inventor: Vandana Mohan , Halil Bayrak , Mridul Malpani , Vinay Ramesh Jain , Eric Gaudet , Shashikant Khandelwal
Abstract: A method is disclosed which includes: receiving, from a third-party content provider, a link to a structured document on an external server, where the link is associated with a post of the online social network by the third-party content provider, and retrieving the structured document from the external server, where the structured document includes content and input fields.. This step is followed by extracting a predefined set of information from the structured document about the content and input fields of the structured document. The extracted set of information from the structured document are then evaluated to determine one or more feature-values of the structured document. A machine learning model is used to classify the structured document as an external lead-generation type page based on the one or more feature-values of the structured document and a notification is sent to the third-party content provider if the structured document is classified as an external lead-generation type page.
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公开(公告)号:US20180253800A1
公开(公告)日:2018-09-06
申请号:US15446779
申请日:2017-03-01
Applicant: Facebook, Inc.
Inventor: Matthew Feldman , Jonathan Mooser , Cassidy Jake Morris , Halil Bayrak , Aishwarya Rajagopal , Shuo Li , Leqiang Li , Zachary Zhang
CPC classification number: G06Q50/01 , G06Q30/0254 , G06Q30/0269
Abstract: An online system applies content policies regulating presentation of sponsored content to its users. For example, content policies may prevent the presentation of sponsored content items in certain positions content feeds. The online system may relax a content policy when generating a content feed for a user based on characteristics of a user. For example, the online system generates a model determining a tolerance of the user for sponsored content, and relaxes one or more content policies if the tolerance of the user for sponsored content equals or exceeds a threshold. As another example, the online system determines whether to relax one or more content policies based on a comparison of a historical amount of compensation received from the user and an expected amount of compensation from presenting content items violating a content policy.
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