Facebook, Inc.

Michael Phillip Salem

Yunzhi Gao

Yi Wu

Xingyao Ye

David Townsend Martin

Jie Xiong

Mark Teng Xia

Li Zhou

Ian K Abernathy

An online system receives information describing a target group of online system users from a third party system and stores the information describing the target group. The online system subsequently uses the target group to select content for presentation to one or more users. For example, users included in the target group are identified as eligible to be presented with content items. Content items are associated with objectives satisfied when a specified interaction with the content item, or with an object associated with the content item, is received. Based on revenue obtained by the online system from presenting content based on the target group as well as interactions satisfying objectives associated with various presented content, the online system determines a monetization value for the target group. Based on the monetization value, the online system determines whether to continue storing the information describing the target group.

Determining whether to maintain information describing a group of online system users specified by a third-party system based on revenue from content selection based on the group and objectives for presentation of selected content

An online system predicts, using a first targeting model, a first group of users as candidates to be in a targeting cluster, and predicts, using a second targeting model, a second group of users as candidates to be in the targeting cluster. The online system determines a first set of users that are not part of the first group of users, and a second set of users that are not part of the second group of users, and provides surveys to the first and second set of users. The online system determines a first subgroup of the first group of users and a second subgroup of the second group of users, and provides an ad preferences tool to the first subgroup and the second subgroup. The online system scores the first and second targeting models based in part on responses to the surveys and/or the ad preferences tools.

Framework for evaluating targeting models

An online system receives information describing a target group of online system users from a third party system and stores the information describing the target group. The online system subsequently uses the target group to select content for presentation to one or more users. For example, users included in the target group are identified as eligible to be presented with content items. Based on revenue obtained by the online system from presenting content based on the target group, the online system determines a monetization value for the target group. The online system determines whether to continue storing the information describing the target group based on the monetization value.

Determining whether to maintain information describing a group of online system users specified by a third-party system based on revenue from content selection based on the group

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Mountain View, CA, United States of America

Michael Phillip Salem