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公开(公告)号：US10896239B1
公开(公告)日：2021-01-19
申请号：US15910001
申请日：2018-03-01
Applicant: Facebook, Inc.
Inventor： Taedong Kim , Zhiye Fei , Tanmoy Chakraborty , Lei Wang
IPC: G06F16/958 , H04L29/08 , G06F16/955
Abstract: An online system accesses a content item containing a link to an external landing page. When an opportunity to present content to a viewing user occurs, the system determines a quality metric for the content item. The system further determines, based on the attributes of the external page, a quality metric for the external page. The quality metric for the external page is adjusted based on the quality metric of the content item. The system computes a value score for the content item based on the quality metrics for the content item and the external page. The content item is ranked against other content items for presentation in the opportunity. Content items are selected by the system and sent for presentation to the viewing user.
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公开(公告)号：US20190205918A1
公开(公告)日：2019-07-04
申请号：US15858402
申请日：2017-12-29
Applicant: Facebook, Inc.
Inventor： Taedong Kim , Zhiye Fei , Jianfei Wu , Lei Wang , Tanmoy Chakraborty
CPC classification number: G06Q30/0243 , G06N20/00
Abstract: An online system accesses a plurality of posts associated with a quality metric used to subsidize or penalize an associated bid amount when competing for presentation. Each of the plurality of posts receives a quality rating from a professional rating service. The professional quality rating is considered to be ground truth. A mathematical function is used to describe the relationship between the professional quality rating and the quality metric determined by the system. The plurality of posts is segmented into categories. Based on whether the categories of posts fall above or below the mathematical function by more than a threshold amount, the system identifies an unfair subsidy or penalty associated with the category of content and adjusts the associated quality metric accordingly.
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公开(公告)号：US20190130444A1
公开(公告)日：2019-05-02
申请号：US15802335
申请日：2017-11-02
Applicant: Facebook, Inc.
Inventor： Zhiye Fei , Manas Somaiya , Tanmoy Chakraborty , Lei Wang , Taedong Kim
Abstract: Methods and systems are described herein for predicting the quality of content items for display to a user of an online system. The method involves training a model to predict user values for content items based on ratings provided by a panel of professional raters for a set of content items. The trained model receives embeddings for a viewing user of the online system and for a page associated with a content item along with edge factors representing the viewing user's interactions on the online system and generates a user value representing the predicted quality of the content item for the viewing user. The method further involves combining the predicted user value with a user interaction score for the content item to generate a content item score used to determine whether to display the content item to the viewing user.
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