Abstract: Techniques described herein relate to analyzing executions of content resources within networks of execution client devices, and selecting sets of interactive content resources for execution on particular execution devices based on such analyses. Content resource execution data may be received from various execution client devices on which content resources have been executed and provided to end users. Such data may be analyzed to determine correlations between a first content executor and additional content executors based on the their respective content resource execution data, and the content resource execution data of correlated content executors may be aggregated and analyzed to select particular interactive content resources for the first content executor. Such selections may be provided to first content executor during a content execution session following an authenticated login by the first content executor.

Abstract: Techniques described herein relate to analyzing executions of content resources within networks of execution client devices, and selecting sets of interactive content resources for execution on particular execution devices based on such analyses. Content resource execution data may be received from various execution client devices on which content resources have been executed and provided to end users. Such data may be analyzed to determine correlations between a first content executor and additional content executors based on the their respective content resource execution data, and the content resource execution data of correlated content executors may be aggregated and analyzed to select particular interactive content resources for the first content executor. Such selections may be provided to first content executor during a content execution session following an authenticated login by the first content executor.

Abstract: Techniques described herein relate to analyzing executions of content resources within networks of execution client devices, and selecting sets of interactive content resources for execution on particular execution devices based on such analyses. Content resource execution data may be received from various execution client devices on which content resources have been executed and provided to end users. Such data may be analyzed to determine correlations between a first content executor and additional content executors based on the their respective content resource execution data, and the content resource execution data of correlated content executors may be aggregated and analyzed to select particular interactive content resources for the first content executor. Such selections may be provided to first content executor during a content execution session following an authenticated login by the first content executor.

Abstract: Techniques described herein relate to analyzing executions of content resources within networks of execution client devices, and selecting sets of interactive content resources for execution on particular execution devices based on such analyses. Content resource execution data may be received from various execution client devices on which content resources have been executed and provided to end users. Such data may be analyzed to determine correlations between a first content executor and additional content executors based on the their respective content resource execution data, and the content resource execution data of correlated content executors may be aggregated and analyzed to select particular interactive content resources for the first content executor. Such selections may be provided to first content executor during a content execution session following an authenticated login by the first content executor.