Abstract: The present disclosure relates to systems and methods for enhancing data from disjunctive sources using a weighted interaction graph. First data about first entities can be received from a first data source. Second data about second entities at least partially different than the first entities can be received from a second data source. Relationships between each entity of the first entities and second entities can be determined, and a set of classes can be inferred from the first data and from the second data. A weighted interaction graph can be generated. The weighted interaction graph can indicate a likelihood of each entity interacting with a corresponding class. An extended set of data can be generated using the weighted interaction graph. The extended set of data can be output to facilitate communication with third entities that include the first entities and the second entities.

Abstract: Techniques for determining recommended allocations of resources among different platforms that sell a common type of inventory. Determining the allocations can include obtaining parameters of a campaign from a client. Determining the allocations can include combining current campaign parameters and scoring with historical campaign performance data to create recommendations for dividing resources among different media platforms.