Facebook, Inc.

Meta Platforms, Inc.

Tanmoy Chakraborty

Lei Wang

Wei Wei

Sourav Chatterji

Harsh Doshi

Zeyue Chen

Ke Pan

Lars Seren Backstrom

Manas Haribhai Somaiya

Chinmay Deepak Karande

Sergey Markov

Peng Chen

Hong Ge

Sagar Chordia

Zhiye Fei

Patrick Edward Bozeman

Taedong Kim

An online system provides a feed of content including organic content items and sponsored content items that are positioned relative to each other to maximize user interaction with the feed of content. To reduce latency of providing the feed of content to a user without impairing positioning of organic content items and sponsored content items relative to each other, the online system generates the feed of content including organic content items and sends the feed of content to a client device while selecting sponsored content items for the feed of content. The online system transmits selected sponsored content items to the client device, which modifies the feed of content to include the sponsored content items and presents the modified feed of content.

Optimizing generation of a feed of content for a user based on prior user interactions with the feed of content

A social networking system dynamically adjusts a number of advertisements presented to a user along with organic content items by modifying a ranking including organic content items and advertisements. Partial engagement scores are generated for organic content items based on an expected amount of user interaction with each organic content item, and scores are generated for advertisements based on expected user interaction and bid amounts associated with each organic content item. An engagement score measuring the user's estimated interaction with a content feed including organic content items without advertisements and an additional engagement score measuring the user's estimated interaction with a content feed including organic content items and advertisements are determined from the partial engagement scores and the scores. A difference between the additional engagement score and the engagement score modifies a conversion factor used to combine expected user interaction and bid amounts to generate advertisement scores.

Selecting organic content and advertisements for presentation to social networking system users based on user engagement

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.

Adjusting quality scores of external pages based on quality of associated content

An online system generates one or more models that determine a likelihood of a user interacting with an application over a particular time interval after installing the application. To generate the one or more models, the online system obtains information describing a user's interaction with the application that occurred greater than a threshold time period prior to a time for which user interaction with the application is to be determined. Example user interactions with the application include: usage of the application, numbers of particular interactions with the application, an amount of compensation the application receives from the user, interactions with other users of the application via the application, and any other suitable interactions. Various engagement metrics may be predicted by the one or more models such as an amount of time spent using the application, particular actions taken in the application, and revenue generated by the user in the application.

Accounting for long-term user interaction with an application in selection of content associated with the application by an online system

An online system provides a feed of content including organic content items and sponsored content items that are positioned relative to each other to maximize user interaction with the feed of content. To reduce latency of providing the feed of content to a user without impairing positioning of organic content items and sponsored content items relative to each other, the online system initially selects a subset of sponsored content items based on characteristics (e.g., bid amounts) of the sponsored content items. Subsequently, the online system applies one or more selection processes to organic content items and to sponsored content items of the subset that accounts for positioning of sponsored content items and organic content items relative to each other within the feed of content. Hence, the online system evaluates the subset of sponsored content items along with organic content items when ordering content within the feed.

Selecting sponsored content and organic content for presentation to an online system user while accounting for relative positioning of sponsored content and organic content

A social networking system dynamically adjusts a number of advertisements presented to a user along with organic content items by modifying a minimum bid amount associated with advertisements eligible for presentation to the user. Increasing the minimum bid amount decreases the number of advertisements presented to the user while decreasing the minimum bid amount increases the number of advertisements presented to the user. An engagement score measuring the user's estimated interaction with a content feed including organic content items without advertisements and an engagement score measuring the user's estimated interaction with a content feed including organic content items and advertisements are determined. A target score is determined based on the engagement scores, and a difference between the target score and a threshold value is used to modify a minimum price of advertisements eligible for presentation to the user.

Adjusting reserve prices for advertisements presented to social networking system users

Growing community of inventors

San Mateo, CA, United States of America

Tanmoy Chakraborty