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公开(公告)号:US10592570B2
公开(公告)日:2020-03-17
申请号:US15645799
申请日:2017-07-10
Applicant: Facebook, Inc.
Inventor: Zhen Li , Li Ju , Eric Hsin-Chun Huang , Yun Liu , Chang Su , Cassidy Jake Beeve-Morris , Yuan Liang
IPC: G06F16/9535 , G06F16/9536 , G06Q30/02 , G06Q50/00
Abstract: A social networking system allows users to create and join groups in the social networking system, in which each group is associated with one or more interests shared by members of the group. To select content for presentation to a viewing user of the social networking system who is a member of a group, the social networking system may determine one or more topics associated with the group based at least in part on a classification system and on information associated with objects maintained in the social networking system that are similar to the group. The topic(s) associated with the group also may be determined based on information associated with the group, with members of the group, and/or with objects associated with the group. The social networking system may then select one or more content items associated with the topic(s) for presentation to the viewing user via a group page.
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公开(公告)号:US11132369B2
公开(公告)日:2021-09-28
申请号:US16051486
申请日:2018-08-01
Applicant: Facebook, Inc.
Inventor: Elizabeth Patton Boles , Yining Wu , Cassidy Jake Beeve-Morris , Chin Lung Fong
Abstract: An online system identifies a candidate content item eligible for presentation to a viewing user of the online system, in which the candidate content item includes media (e.g., an image, a video, etc.). The online system identifies one or more media attributes for the media, such as color saturation, tone, brightness, sharpness, contrast, etc. The online system also predicts a value of a performance metric for the candidate content item that indicates a likelihood of user engagement with the candidate content item by the viewing user. For each modification that may be made to a media attribute, the online system predicts a change to the value of the performance metric. Based on the predicted change, the online system determines an optimal set of media attributes associated with a maximum predicted value of the performance metric. The online system modifies the media based on the optimal set of media attributes.
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公开(公告)号:US20190095961A1
公开(公告)日:2019-03-28
申请号:US15726114
申请日:2017-10-05
Applicant: Facebook, Inc.
Inventor: Jianfei Wu , Cassidy Jake Beeve-Morris , Jonathan Mooser
Abstract: An online system receives a request to present a content item to a viewing user who is associated with a set of user attributes. The online system retrieves a regression model for predicting an expected quality for a particular content item and a particular set of users attributes. The regression model was trained, using machine learning, based on user-assigned quality scores, each corresponding to a content item and provided by a quality-assigning user, and sets of user attributes, each set associated with one of the quality-assigning users. The online system uses the regression model to predict a quality score, indicating the quality of a content item to the viewing user, based on the set of user attributes that is associated with the viewing user. The online system determines to provide the content to the viewing user based on the quality score, and transmits the content item to the viewing user.
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4.
公开(公告)号:US20200042610A1
公开(公告)日:2020-02-06
申请号:US16051486
申请日:2018-08-01
Applicant: Facebook, Inc.
Inventor: Elizabeth Patton Boles , Yining Wu , Cassidy Jake Beeve-Morris , Chin Lung Fong
Abstract: An online system identifies a candidate content item eligible for presentation to a viewing user of the online system, in which the candidate content item includes media (e.g., an image, a video, etc.). The online system identifies one or more media attributes for the media, such as color saturation, tone, brightness, sharpness, contrast, etc. The online system also predicts a value of a performance metric for the candidate content item that indicates a likelihood of user engagement with the candidate content item by the viewing user. For each modification that may be made to a media attribute, the online system predicts a change to the value of the performance metric. Based on the predicted change, the online system determines an optimal set of media attributes associated with a maximum predicted value of the performance metric. The online system modifies the media based on the optimal set of media attributes.
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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:US20190012387A1
公开(公告)日:2019-01-10
申请号:US15645799
申请日:2017-07-10
Applicant: Facebook, Inc.
Inventor: Zhen Li , Li Ju , Eric Hsin-Chun Huang , Yun Liu , Chang Su , Cassidy Jake Beeve-Morris , Yuan Liang
Abstract: A social networking system allows users to create and join groups in the social networking system, in which each group is associated with one or more interests shared by members of the group. To select content for presentation to a viewing user of the social networking system who is a member of a group, the social networking system may determine one or more topics associated with the group based at least in part on a classification system and on information associated with objects maintained in the social networking system that are similar to the group. The topic(s) associated with the group also may be determined based on information associated with the group, with members of the group, and/or with objects associated with the group. The social networking system may then select one or more content items associated with the topic(s) for presentation to the viewing user via a group page.
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