| CPC H04N 21/4665 (2013.01) [H04N 21/25866 (2013.01)] | 18 Claims |
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1. A system configured to identify target taxonomical classifications of content based on a prospective audience and a taxonomy for pieces of content, the system comprising:
electronic storage configured to store:
i) classification information, the classification information defining taxonomical classifications of individual pieces of content, wherein individual taxonomical classifications include content parameter values for content parameters that define classifications for the individual pieces of content, wherein the taxonomical classifications conform to a taxonomy that defines a hierarchical system of the content parameters that facilitate providing the pieces of content with the classifications, wherein the pieces of content are defined by the content parameter values for some or all of the content parameters,
ii) psychological profiles for users of digital environments, wherein the psychological profiles include psychological parameter values for psychological parameters, and
iii) interaction information that characterizes interactions between users and the pieces of content via the digital environments; and
one or more processors configured by machine-readable instructions to:
receive, simultaneously from individual client computing platforms associated with individual ones of the digital environments, individual audience definitions for individual prospective audiences of the individual digital environments, wherein the individual audience definitions include psychological parameter values to individual sets of the psychological parameters;
identify sets of the users based on the psychological profiles that include similar psychological parameter values as indicated by the audience definitions;
correlate one or more combinations of content parameter values with the prospective audiences based on the interaction information characterizing interactions by the set of the users with the pieces of content and the content parameter values that characterize the pieces of content that the set of the users interacted with, wherein the interaction information includes at least movement information that defines changes in the pieces of content in the digital environments caused by user-controlled pieces of content and actions of the user-controlled pieces of content that caused the changes, wherein the user-controlled pieces of content include characters in the digital environments, wherein the changes in the pieces of content include a change in orientation and displacement;
identify sets of prospective content, from the pieces of content with taxonomical classifications stored in the electronic storage, for the prospective audiences based on the correlated one or more combinations of the content parameter values and the taxonomical classifications of the pieces of content stored in the electronic storage; and
effectuate, via the client computing platforms, presentation of the content parameter values to the content parameters for the sets of prospective content.
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