Facebook, Inc.

Meta Platforms, Inc.

Yining Wu

Xin Liu

Xiaojun Liang

Asad K Awan

Rohan Kuruvilla

Cassidy Jake Beeve-Morris

Chin Lung Fong

Junfeng Pan

Dihong Gao

Elizabeth Patton Boles

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.

Managing prefetching of content from third party websites by client devices based on prediction of user interactions

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.

Optimizing user engagement with content based on an optimal set of attributes for media included in the content

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Sunnyvale, CA, United States of America

Yining Wu