Facebook, Inc.

Michael Charles Bailey

Shengbo Guo

Alexander Peysakhovich

James Li

Christopher John Leggetter

Lu Wang

Eric Michael Sodomka

Seyoung Park

Yixian Zhu

Yue Zhuo

Virot Chiraphadhanakul

Grace Louise Jackson

Kristin S Hendrix

An advertising simulation system performs simulation of advertising results. The advertising results indicate the results of a simulated auction for a set of ad queries that are provided advertisements from available advertisements. The simulated auction applies an advertising model to perform an auction using advertising conditions. As advertisers are selected to provide advertisements to individual ad queries, advertising conditions, such as advertiser's bidding amounts, may change. To effectively simulate a large number of ad queries, the advertising segments simulation and performs simulation of each segment. Each segment's ad results may affect the conditions of a subsequent segment, and the change in conditions may change the size of a subsequent segment.

Simulating advertising campaigns

Systems, methods, and non-transitory computer readable media are configured to select a first content item and a second content item to display to each user of a plurality of users in pairwise comparison in a survey associated with a content feed of the user. A selection by each user of the plurality of users of one of the first content item and the second content item can be obtained via a user interface. A ranking model configured to assign a score indicative of quality of each content item of a plurality of content items associated with content feeds based at least in part on the selections by the plurality of users can be determined.

Systems and methods for providing feed preference surveys in a social networking system

An online system receives posts that include links to various external pages and presents those posts to users of the online system. When the online system determines an opportunity to present a post to a particular viewing user of the online system, the online system determines a quality metric and an associated value score for the post. The quality metric is determined as a likelihood that the viewing user will view the external page for less than a threshold time period, and is used to adjust the associated value score. The online system compares the value score of the post to the value scores of other posts and selects one or more of the compared posts for presentation to the viewing user of the online system.

Selecting content with an external link for presentation based on user interaction with external content

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Menlo Park, CA, United States of America

Michael Charles Bailey