Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.

Abstract: One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.