The Nielsen Comapny (us), LLC

Roku, Inc.

Thomas Harrington

Jonathan Lee Sullivan

Paul J Chimenti

Denis Voytenko

Joshua T Deragon

Jack Barbey

Remy Spoentgen

Nico Van De Bovenkamp

Caleb Goertel

Marco Huertas

Yves Greatti

An example apparatus includes a distance matrix generator to determine a number of remapping combinations corresponding to a first and a second household demographic model, generate (a) a first age-based household demographic model and a second age-based household demographic model and (b) a third age-based household demographic model and a fourth age-based household demographic model, generate a first distance matrix corresponding to the first and the third age-based household demographic model, and generate a second distance matrix corresponding to the second and the fourth age-based household demographic model, a distance matrix identifier to determine a first and a second reassignment distance and a person identification assigner to assign a person identification number of a first person corresponding to the first household to a second person corresponding to the second household based on the first distance matrix or the second distance matrix.

Methods, systems, articles of manufacture and apparatus to remap household identification

In one aspect, a method includes (i) identifying a plurality of upcoming content-modification opportunities for a content-presentation device, each respective content-modification opportunity corresponding to a respective underlying advertisement that is available for replacement by a respective supplemental advertisement; (ii) using the identified upcoming content-modification opportunities as a basis for determining expected values for a plurality of supplemental advertisements; (iii) selecting a subset of supplemental advertisements from among the plurality of supplemental advertisements based on the subset having expected values above a threshold value; (iv) in advance of the upcoming content-modification opportunities, sending the subset of supplemental advertisements to be locally stored at the content-presentation device; and (v) upon occurrence of one of the content-modification opportunities, causing the content-presentation device to replace one of the respective underlying advertisements with one of the locally stored supplemental advertisements.

Content-modification system with client-side advertisement caching

Example methods and systems for ad insertion decision-making comprise: identifying an ad insertion opportunity in which an underlying advertisement is available for replacement by an addressable advertisement; determining a first expected revenue corresponding to presentation of the addressable advertisement and a first expected cost corresponding to presentation of the addressable advertisement, wherein the first expected cost is based on a current pacing of an advertisement campaign of the addressable advertisement; determining a second expected revenue corresponding to presentation of the underlying advertisement and a second expected cost corresponding to presentation of the underlying advertisement, wherein the second expected cost is based on a current pacing of an advertisement campaign of the underlying advertisement; determining an expected value of the ad insertion based on the first and second expected revenues and the first and second expected costs; and causing performance of the ad insertion based on the expected value.

Dynamic ad insertion decision-making for linear live TV

An example apparatus includes a distance matrix generator to determine a number of remapping combinations corresponding to a first and a second household demographic model, generate (a) a first age-based household demographic model and a second age-based household demographic model and (b) a third age-based household demographic model and a fourth age-based household demographic model, generate a first distance matrix corresponding to the first and the third age-based household demographic model, and generate a second distance matrix corresponding to the second and the fourth age-based household demographic model; a distance matrix identifier to determine a first and a second reassignment distance; and a person identification assigner to assign a person identification number of a first person corresponding to the first household to a second person corresponding to the second household based on the first distance matrix or the second distance matrix.

Methods, apparatus, systems and articles of manufacture are disclosed to reduce a remapping error. An example apparatus includes a distance matrix generator to generate a distance matrix corresponding to a first household demographic model and a second household demographic model. The example apparatus also includes a distance matrix identifier to determine a reassignment distance of the distance matrix. The example apparatus also includes a person identification assigner to, in response to the reassignment distance being less than a reassignment threshold, assign a person identification number of a first person of the first household to a second person of the second household based on the distance matrix.

Growing community of inventors

New York, NY, United States of America

Thomas Harrington