Abstract: Systems, methods, and computer-readable storage media that may be used to attribute events such as clicks and conversions to impressions are provided. One method includes determining a local time and a timezone associated with each of a plurality of events of a content campaign. The method further includes generating a first event grouping including a first set of events having timezones matching at least one grouping timezones. The method further includes generating a second event grouping including a second set of the events based on both the local times and the timezones of the events. Generating the second event grouping includes selecting the second set of events based on the local times of the events in view of the timezones of the events. The method further includes, for each grouping, determining a number of events associated with frequency groups based on a number of impression events associated with the events.

Abstract: A resource context system (“context system”) computes a contextual profile for a resource based on selection data for the resource and contextual profiles of other resources that are identified as relevant to the resource. The contextual profile includes values that specify measures of relevance of the resource to each of a plurality of corresponding topics. The contextual profile is provided to a processing system, such as an advertisement management system or a search system that can identify topics for which the resource is relevant based on the contextual profile.

Abstract: A publication evaluation subsystem generates publication scores for publications. Each publication score is indicative of an expected performance for content that is presented with the publication. The publication scores are generated relative to a baseline performance measure. The baseline performance measure has a value that is indicative of an expected performance of any selected content presented with any publication in the content network. More than one publication score can be generated for each publication, with each publication score being indicative of the performance of a sub-group of content items that are presented with the publication. The sub-group of content items can include content items that each share a common characteristic. For example, a publication score can be generated for a sub-group of content items that are associated with common targeting criteria (e.g., keywords).

Abstract: Among other disclosed subject matter, a computer-implemented method for modifying an estimate value includes determining a first estimate value based on a plurality of values relating to a first entity. The method includes determining a second estimate value for at least one second entity identified as a peer of the first entity. The method includes modifying the first estimate value using the second estimate value.

Abstract: Among other disclosed subject matter, a computer-implemented method for modifying an estimate value includes determining a first estimate value based on a plurality of values relating to a first entity. The method includes determining a second estimate value for at least one second entity identified as a peer of the first entity. The method includes modifying the first estimate value using the second estimate value.

Abstract: A resource context system (“context system”) computes a contextual profile for a resource based on selection data for the resource and contextual profiles of other resources that are identified as relevant to the resource. The contextual profile includes values that specify measures of relevance of the resource to each of a plurality of corresponding topics. The contextual profile is provided to a processing system, such as an advertisement management system or a search system that can identify topics for which the resource is relevant based on the contextual profile.