Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) deriving features from a landing page of each of the links, (4) using the label and the features of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (5) identifying content items that are candidates for a content feed of a user of the online system, (6) applying the model to a link of each of the content items to determine a ranking of the content items, and (7) displaying the content items in the content feed of the user based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: 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.

Abstract: An online system determines a change in of revenue received when a budget for presenting content received from a publishing user is increased. Based on the change in revenue to the online system, the online system determines a subsidy that the online system can provide to one or more publishing users that increases revenue received by the online system from the publishing users, while accounting for the subsidy. To determine the change in revenue for determining the subsidy, the online system selects a subset of publishing users, increases budgets for content presentation provided by the subset of publishing users, and determines changes in revenue to the online system from the increased budgets.

Abstract: 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.

Abstract: 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.