Facebook, Inc.

Conviva Inc.

Meta Platforms, Inc.

Asad K Awan

Aditya Ravikumar Ganjam

Paresh Jayant Rajwat

Ion Stoica

Ningning Hu

Ryan J Huebsch

George C Necula

Rohan Kuruvilla

Prashanth Pappu

Xin Liu

Xiaojun Liang

Abhishek Bapna

Eric Hsin-Chun Huang

Fidji Nahema Simo

Hongzheng Xiong

Yining Wu

Shashank Ramaprasad

Rachel Barrie Tucker

David Tin Ho Shih

Dihong Gao

Junfeng Pan

An online system communicates a lead generation message to a client device associated with a user. The lead generation message includes a selectable option authorizing a third-party entity to open a channel of communication with the user. If the online system receives from the client device an interaction with the selectable option, the online system sends a notification to the third-party entity indicating that the user associated with the client device interacted with the lead generation content item. The third-party entity may then send a request to the online system to send a message to the user via a messaging system controlled by the online system. The online system thus enables the third-party entity to communicate with the user via the messaging system. The online system then uses information about the communication to train a model to optimize the selection of lead generation messages to users.

Optimizing lead generation in an online system environment

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 receives host content items and supplementary content items to be presented in conjunction with one another. In embodiments, the online system receive an allocation of display instances of supplementary content items with host content items during a time interval. For a host content providers, the online system receives a count of display instances of supplementary content items in conjunction with host content items. The online system determines a content quality score based on user interactions with content from the host content provider and a count of display instances for host content items presented in conjunction with supplementary content items for a preceding time interval. The online system determines a content quality threshold based and, for host providers with content quality scored below the threshold, presents host content items in conjunction with supplementary content items to a user.

Distribution of embedded content items by an online system

Controlling dynamic reporting of content distribution performance information from a client is disclosed. The content distribution performance information associated with the delivery of content is generated. The content distribution performance information is reported to a content distribution monitor at a first reporting level. In response to a triggering event, the first reporting level is changed to a second reporting level. Additional content distribution performance information is reported according to the second reporting level.

Dynamic client logging and reporting

In one embodiment, a computer system provides a document for display in a non-browser application of a client device of a user associated with a social-networking system, wherein the application is associated with the social-networking system, a layout of the document corresponds to a first document template, and the document includes content items corresponding to elements, wherein each element is a container for a content item, and information corresponding to characteristics of users of the social-networking system. The computer system determines a characteristic associated with a user, wherein the characteristic is associated with a preferred layout based on a type of content item associated with each element. The computer system selects an alternate document template based on the characteristic, including a set of elements. The computer system provides the document with content items corresponding to the set of elements and configured in accordance with the alternate document template for display.

Updating documents based on user input

An online system receives advertisement ('ad') requests for presentation to its users. An ad request may include one or more values associated with a characteristic of online system users. When an opportunity to present the ad request to a user is identified, the online system obtains the characteristic of the user and determines a value for the user from the ad request based on the obtained characteristic for the user and values associated with the characteristic included in the ad request. The online system generates a score for the ad request based on the determined value for the user, a bid amount in the ad request, and a likelihood of the user interacting with an advertisement in the ad request. Based on the score for the ad request, the online system determines whether to present the advertisement from the ad request to the user.

Evaluating content items for presentation to an online system user based in part on one or more parameters of the user specified by a third party system

An online system provides an advertisement ('ad') request including ad content and a prompt to perform an action presented in association with the ad content. For example, the ad content is video data and the prompt for performing an action is presented after the video data is presented or after a portion of the video data is presented. An advertiser may include a custom prompt in the ad request that includes text information and instructions associated with the text information that perform an action when executed. Multiple prompts may be included in the ad request, and the online system selects a prompt based on information maintained by the online system and associated with a user to be presented with the ad content. The selected prompt is communicated to a client device for presentation in association with the ad content.

Determining a prompt for performing an action presented to a user in association with video data

An online system receives a request to install an application on a client device associated with a user of the online system and initiates retrieval of the application by the client device for installation. While the client device retrieves the application, the online system presents the user with a user interface for receiving information about the user for use by the application. Information provided via the user interface is stored by the online system, which generates a link for launching the application and communicating the stored information to the application. When the application has been installed on the client device, the online system sends the link to the client device for presentation to the user. When the user interacts with the link to launch the application, stored information identified by the link is communicated to the application.

Retrieving information about an online system user for use by an application during retrieval and installation of the application

Improving a content player engagement is described. An engagement of a first content player with respect to a content item being downloaded by the first client is measured. Performance information associated with the first content player is obtained. A quantitative relationship between the engagement and the performance information is determined. How a second client obtains the same content is adjusted based at least in part on the determined quantitative relationship.

Monitoring the performance of a content player

Improving a content player engagement is described. An engagement of a first content player with respect to a first content item being downloaded by the first client is measured. Performance information associated with the first content player is received. A quantitative relationship between the engagement and the performance information is determined. A setting associated with a download of the first content item by a second client is adjusted.

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San Francisco, CA, United States of America

Asad K Awan