Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to optimize projection of big data beyond its footprint. An example apparatus includes memory, instructions, and processor circuitry to access panel audience sizes corresponding to subscribers of a media provider, a subset of the subscribers of the media provider, and corresponding to a media network determine a relative percent difference between the third panel audience size and the fourth panel audience size, when the relative percent absolute difference satisfies a first threshold, determine percentages of demographic groups represented in the panel audience sizes, determine differences associated with the demographic groups, and when at least one of the differences corresponding to at least one of the demographic groups satisfies a second threshold, determine the subscribers, the subset of the subscribers, and the at least one of the demographic groups as useable to determine an audience size of the media network.

Abstract: A computer-implemented task management system and method for implementing the same are provided. The system and method can include a task period journal module configured to provide a task period journal having a task table that lists one or more tasks a user or team of users is assigned to complete and a notepad for documenting remarks about the one or more tasks, and a Kanban board module configured to provide a Kanban board having one or more Kanban lanes and one or more Kanban cards in at least one of the one or more Kanban lanes, wherein each of the one or more Kanban cards represents a particular task, and each of the one or more Kanban cards is configured to receive a user inputted modification.

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract: Techniques are provided for adapting an advertising campaign based on real-time analysis of campaign metrics for a concurrent advertising campaign. As one advertising campaign runs, parameters of the campaign are updated to incorporate insights from another advertising campaign. In one embodiment, parameters of the campaign are updated to boost performance of a portion of the advertising campaign determined to be particularly responsive based on the campaign metrics from another campaign. The campaign metrics may be measured using real-time, single-question surveys across segmented portions of the target audience and may be used to generate correlations between the target audience and marketing objectives sought.

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract: A technique for adapting an advertising campaign based on real-time campaign metrics, such as a composition of the target audience among advertising recipients or an impact on brand metrics. As the advertising campaign runs, parameters of the campaign are updated to boost performance of a portion of the advertising campaign determined to be particularly effective by the campaign metrics. The campaign metrics utilize real-time, single-question surveys across segmented portions of the target audience, and then adapt the advertising campaign to target a particular segment based on desired brand and audience metrics.

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract: A cooling system for apparatus powered by electricity, that generates a substantial amount of heat during operation, and the heat must be dissipated to avoid failure of electrical and/or electronic components, such as semiconductor devices and integrated circuits, comprising the electrical apparatus. The cooling system employs liquid ice impinged on a heat sink thermally coupled with electrical apparatus. The attendant phase changes of the liquid ice first to water and then to steam remove a substantial amount of waste heat to prevent failure of the electrical apparatus.