Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: Systems, methods, and non-transitory computer-readable media can receive an indication that a user of a social networking system has interacted with a first media content item on the social networking system. A set of potential media content items is compiled based on media content item similarity criteria indicative of a similarity of each potential media content item to the first media content item. The set of potential media content items is ranked based on ranking criteria, and filtered based on filtering criteria. One or more similar media content item recommendations are presented to the user via a graphical user interface, the one or more similar media content item recommendations based on the ranking and the filtering.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system, wherein one or more of the candidate content items are to be included in a personalized content stream for a first user. A corresponding score for each of the candidate content items can be generated with respect to the first user. A first set of content items can be determined from the set of candidate content items based at least in part on the respective scores, wherein content items in the first set are included in the personalized content stream.

Abstract: An advertiser specifies an advertising campaign including one or more targeting criteria for presentation to users of an online system, which retrieves information describing previously completed advertisement auctions for presenting advertisement to users of the online system satisfying one or more of the targeting criteria. Based on the retrieved information, the online system associates various bid amounts with the advertising campaign and determines the advertising campaign's estimated performance for various bid amounts. For each bid amount, the online system determines a number of previously completed advertisement auctions that would have selected an advertisement from the advertising campaign, an amount that would have been charged to the advertiser if an advertisement campaign was selected, and a number of distinct users that would have been presented with an advertisement from the advertising campaign.