Abstract: In an anonymous matching system, a demand-side service platform (DSP) may select segments to populate a target audience. A data warehouse platform and a multichannel video programming distributor (MVPD) platform ingest address lists, eliminate personally identifiable information (PII) from the address lists, and process the de-identified addresses to generate deterministic unique anonymous household identifiers (UHIDs). Households may be selected, for example, at the DSP's direction, to form a query request without exposing the PII. In response to the query request, the MVPD platform determines a matching UHID and includes a matching household attribute, such as an IP address or the like, in a query response without exposing the PII.

Abstract: In an anonymous matching system, a demand-side service platform (DSP) may select segments to populate a target audience. A data warehouse platform and a multichannel video programming distributor (MVPD) platform ingest address lists, eliminate personally identifiable information (PII) from the address lists, and process the de-identified addresses to generate deterministic unique anonymous household identifiers (UHIDs). Households may be selected, for example, at the DSP's direction, to form a query request without exposing the PII. In response to the query request, the MVPD platform determines a matching UHID and includes a matching household attribute, such as an IP address or the like, in a query response without exposing the PII.

Abstract: An data de-duplication system (DDDS), method and applications thereof. The DDDS can permit a user to perform combinations and de-duplication of datasets, including complicated arrangements, having intended attributes. In some embodiments, the data de-duplication system includes a method for generating a query based on a population selected from a graphical user interface. The graphical user interface may present a visualization of available data on a client device. In some embodiments, the graphical user interface of the DDDS may include a visualization of the available datasets in a Euler or Venn diagram. In some embodiments, a query may be generated based on selected populations utilizing a logic interpreter.

Abstract: Embodiments utilize viewership data collected via a set top box (STB) at individual households (HHs) to enable a network operator to recommend ad spots to customers based on a percentage of HHs that are likely to view the ad spots (e.g., the % of HHs reached by the ad spots), and/or based on the average number of times (e.g., average frequency) that the reached HHs are likely to view the ad spot. Embodiments compile the available network/daypart ad spots per broadcast week, and determine a number of ad spots for each network/daypart that satisfy a reached threshold of HHs, and/or satisfies the minimum frequency threshold.

Abstract: Embodiments utilize viewership data collected via a set top box (STB) at individual households (HHs) to enable a network operator to recommend ad spots to customers based on a percentage of HHs that are likely to view the ad spots (e.g., the % of HHs reached by the ad spots), and/or based on the average number of times (e.g., average frequency) that the reached HHs are likely to view the ad spot. Embodiments compile the available network/daypart ad spots per broadcast week, and determine a number of ad spots for each network/daypart that satisfy a reached threshold of HHs, and/or satisfies the minimum frequency threshold.