公开(公告)号：US11210363B1

公开(公告)日：2021-12-28

申请号：US15963250

申请日：2018-04-26

Applicant: Facebook, Inc.

Inventor： Dihong Gao ,  Xin Liu ,  Xiaojun Liang ,  Asad K. Awan ,  Junfeng Pan ,  Rohan Kuruvilla ,  Yining Wu

IPC: G06F16/958 ,  G06N5/02 ,  H04L29/08

Abstract: An online system provides content items including URLs of third party websites to client devices. The client devices prefetch data from the third party website via the URL. The online system controls the prefetch rate for the client devices based on information received from the client devices. The online system may reduce the prefetch rate if an aggregate number of prefetches from the third party website during a time interval exceeds a prefetch quota. The online system may reduce the prefetch rate if the client devices indicate poor performance of the third party. The online system may determine whether to prefetch data from a URL included in a content item based on a likelihood of the user ignoring the content item if here is a delay in loading of the content item in the client device.

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

IPC: G06Q30/00 ,  G06F16/2457 ,  G06N20/00 ,  G06N3/08 ,  G06Q30/08 ,  H04N1/60 ,  H04N5/232

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.

公开(公告)号：US20180341974A1

公开(公告)日：2018-11-29

申请号：US15605815

申请日：2017-05-25

Applicant: Facebook, Inc.

Inventor： Junfeng Pan ,  Tyler Paul Sax ,  Yining Wu ,  Yili Zhao ,  Dihong Gao ,  Juanjuan Xu ,  Xiaojun Liang ,  Asad K. Awan ,  Jonathan Mooser ,  Chin Lung Fong ,  Hong Yan

IPC: G06Q30/02 ,  H04L29/08

Abstract: An online system accounts for measures of quality of content items when selecting content items for presentation to users. For a content item including a link to a landing page outside a domain of the online system, the measure of quality accounts for a likelihood of a user presented with the content item returning to the online system after less than a threshold amount of time accessing the landing page. The measure of quality of the content item is based on the likelihood of the user returning to the online system after less than the threshold amount of time relative to likelihoods of other users returning to the online system after less than the threshold amount of time. The measure of quality of the content item is affected by a difference between the likelihood determined for the user and the likelihoods determined for other users.

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

IPC: G06F17/30 ,  G06F15/18 ,  G06Q30/08 ,  G06N3/08 ,  H04N1/60 ,  H04N5/232

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.