KR102317823B1 - 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 - Google Patents
데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 Download PDFInfo
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Abstract
Description
도 2는 데이터베이스 사업자의 노출 수집 기술로부터 발생하는 기인오류 및 논-커버리지와 관련된 부정확성에 대해 노출 데이터를 보상하고, 도 1의 예시적인 시청자 측정 엔티티에 구현될 수 있는, 예시적인 노출 데이터 보상기이다.
도 3a 내지 3c는 데이터베이스 사업자의 노출 수집 기술로부터 발생하는 기인오류 및 논-커버리지와 관련된 부정확성에 대해 노출 데이터를 보상하고, 도 2의 예시적인 노출 데이터 보상기에 의해 수행될 수 있는 예시적인 데이터 흐름을 총괄적으로 도시한다.
도 4는 데이터베이스 사업자의 노출 수집 기술로부터 발생하는 기인오류 및 논-커버리지와 관련된 부정확성에 대해 노출 데이터를 보상하고, 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 5는 기인오류 보정 매트릭스 및/또는 공동-시청(co-viewing) 매트릭스를 계산하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 6은 인구통계 그룹들의 쌍에 대한 기인오류의 확률을 결정하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 7은 기인오류 보정 매트릭스 및/또는 공동-시청 매트릭스를 생성하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 8은 공동-시청 매트릭스를 생성하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어의 흐름도이다.
도 9는 데이터베이스 사업자에 의해 다뤄지지 않는 미디어 시청자와 관련된 알파 인자를 생성하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 10은 기인오류 보정 매트릭스에 기반하여 노출을 조정하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 11은 데이터베이스 사업자의 노출 수집 기술에 해당하는 논-커버리지 인자에 기반하여 노출을 조정하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 12는 데이터베이스 사업자에 의해 다뤄지지 않은 미디어 시청자와 관련된 인구통계 프로필 (또는 논-커버리지 인자)를 계산하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 13은 데이터베이스 소유자에 대한 논-커버리지 인자에 기반하여 노출 및/또는 고유한 시청자를 조정하기 위해 도 2의 예시적인 노출 데이터 보상기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 14는 수집된 미디어 노출 데이터에 대한 장르를 결정하기 위해 본 명세서의 교시에 따라 구성된 예시적인 시스템을 도시한다.
도 15는 수집된 미디어 노출 데이터에 대한 장르를 결정하기 위한 도 14의 장르 예측기의 예를 도시한다.
도 16은 장르를 예측하도록, 도 15의 장르 분석기에 의해 사용될 수집된 미디어 노출 데이터를 분류하는 도 15의 데이터 분류기의 예를 도시한다.
도 17은 도 14 및 15의 장르 예측기에 의해 사용되는 예시적인 날짜 부분들 및 예시적인 날짜 분류를 도시하는 예시적인 차트를 도시한다.
도 18은 장르 모델을 구성하는데 사용될 수 있는, 도 14의 장르 모델화기(genre modeler)의 예를 도시한다.
도 19는 장르 모델을 구성하기 위해 도 14 및 18의 예시적인 장르 모델화기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 20은 수집된 미디어 노출 데이터에 장르를 할당하기 위해 도 14 및 15의 예시적인 장르 예측기를 구현하도록 실행될 수 있는 예시적인 기계 판독가능한 명령어를 표현하는 흐름도이다.
도 21은 본 명세서에 개시된 예시적인 장치 및 시스템을 구현하도록 도 4 내지 13의 예시적인 명령어를 실행하는데 사용될 수 있는 예시적인 프로세서 플랫폼이다.
도 22는 본 명세서에 개시된 예시적인 장치 및 시스템을 구현하도록 도 19 및/또는 20의 예시적인 명령어를 실행하는데 사용될 수 있는 다른 예시적인 프로세서 플랫폼이다.
Claims (24)
- 제1 인터넷 도메인에서, 제1 유형의 컴퓨팅 장치의 제1 컴퓨팅 장치로부터 제1 서버에서 수신되는 제1 네트워크 통신 메시지로서, 제1 유형의 컴퓨팅 장치에서 미디어로의 액세스를 나타내는 제1 네트워크 통신 메시지에 액세스하고;
제1 서버로부터, 상기 제1 네트워크 통신 메시지에 대응하는 인구통계 정보를 요청하는 제2 네트워크 통신 메시지 및 제1 유형의 컴퓨팅 장치의 제2 컴퓨팅 장치로부터 제1 인터넷 도메인에서 수신되는 제3 네트워크 통신 메시지를 송신하는, 노출 수집기;
제1 유형의 컴퓨팅 장치에서 발생하는 미디어 노출의 수에 액세스하는 노출 정보 수집기; 및
미디어 노출들에 대응하는 미디어가 제1 유형의 컴퓨팅 장치에 액세스될 제1 확률 및 미디어가 제2 유형의 장치에 액세스될 제2 확률에 기반하여, 미디어 노출들의 제2 부분에 대한 제2 인구통계 정보를 결정함으로써 데이터베이스 사업자의 제2 서버로부터 발생하는 논-커버리지 오류를 보정하는 논-커버리지 보정기를 포함하는 기기로서,
미디어 노출들의 제1 부분은 데이터베이스 사업자의 제2 서버에 의해 제1 인구통계 정보가 인식될 수 있는 제1 사람에 대응하고,
논-커버리지 오류는 미디어 노출들의 제2 부분에 대응하는 제2 사람의 제2 인구통계 정보에 액세스할 수 없는 데이터베이스 사업자의 제2 서버로부터 발생하는, 기기. - 제 1 항에 있어서,
(1) 제2 확률에 대한 제1 확률의 비율과 (2) 제1 인구통계 그룹에 기인하는 미디어 노출의 개수를 곱셈하는 논-커버리지 계산기를 더 포함하는, 기기. - 제 2 항에 있어서,
제1 확률은 제1 인구통계 그룹에서의 사람이 제1 유형의 컴퓨팅 장치에서 미디어에 액세스할 가능성이며, 제2 확률은 제1 인구통계 그룹에서의 사람이 제2 유형의 장치에서 미디어에 액세스할 가능성인, 기기. - 제 2 항에 있어서,
미디어 노출들의 서브세트를 제2 인구통계 그룹에서의 제2 사람에게 부정확하게 기인시키는 것에 대해 보상하도록 미디어 노출을 조정하는 기인오류 보정기를 더 포함하며, 제1 인구통계 그룹에 기인하는 미디어 노출의 개수는 부정확한 기인에 대해 보상하도록 조정되는 미디어 노출들의 서브세트로부터 결정되는, 기기. - 제 1 항에 있어서,
제1 유형의 컴퓨팅 장치는 모바일 장치를 포함하고, 제2 유형의 장치는 텔레비전을 포함하는, 기기. - 제 1 항에 있어서,
제1 유형의 컴퓨팅 장치는 스마트폰, 태블릿 컴퓨터, 또는 휴대용 미디어 플레이어 중 적어도 하나를 포함하는, 기기. - 제 1 항에 있어서,
사람들의 설문조사에 대한 설문조사 응답에 기반하여 제1 확률 및 제2 확률을 계산하는 논-커버리지 계산기를 더 포함하고,
상기 논-커버리지 계산기는 설문조사 응답으로부터, 인구통계 그룹, 미디어 카테고리, 컴퓨팅 장치의 유형, 또는 지리적 영역 중 적어도 하나와 관련된 가중치를 결정함으로써 제1 확률을 계산하며, 상기 가중치는 관심 있는 장치 유형에서 미디어 노출과 관련된 미디어에 액세스할 각각의 확률들을 표시하는, 기기. - 제 7 항에 있어서,
설문조사는 랜덤 패널 또는 시청자 측정 엔티티에 의해 관리되는 시청자 구성원들의 패널 중 적어도 하나를 기초로 하는, 기기. - 제 1 항에 있어서,
제1 확률 및 제2 확률은 미디어의 미디어 카테고리에 대응하는, 기기. - 제 9 항에 있어서,
미디어 카테고리는 코미디, 드라마, 정치, 리얼리티, 또는 미디어 카테고리 조합 중 적어도 하나인, 기기. - 제 1 항에 있어서,
논-커버리지 보정기는:
사람들에 대응하는 상이한 인구통계 그룹들에게 기인될 수 있는 미디어 노출의 비율을 결정하고;
미디어 노출의 비율을 미디어 노출의 제2 부분으로 스케일링함으로써,
미디어 노출의 제2 부분에 대한 제2 인구통계 정보를 결정하는, 기기. - 제1 서버가 실행시, 적어도:
제1 인터넷 도메인에서, 제1 유형의 컴퓨팅 장치의 제1 컴퓨팅 장치로부터 수신되는 제1 네트워크 통신 메시지로서 제1 유형의 컴퓨팅 장치에서 미디어로의 액세스를 나타내는 제1 네트워크 통신 메시지에 액세스하고;
상기 제1 네트워크 통신 메시지에 대응하는 인구통계 정보를 요청하는 제2 네트워크 통신 메시지 및 제1 유형의 컴퓨팅 장치의 제2 컴퓨팅 장치로부터 제1 인터넷 도메인에서 수신되는 제3 네트워크 통신 메시지를 송신하며;
제1 유형의 컴퓨팅 장치에서 발생하는 미디어 노출의 수에 액세스하고;
미디어 노출들에 대응하는 미디어가 제1 유형의 컴퓨팅 장치에 액세스될 제1 확률 및 미디어가 제2 유형의 장치에 액세스될 제2 확률에 기반하여, 미디어 노출들의 제2 부분에 대한 제2 인구통계 정보를 결정함으로써 데이터베이스 사업자의 제2 서버로부터 발생하는 논-커버리지 오류를 보정하게 하는, 컴퓨터 판독가능 명령어를 포함하는 컴퓨터 판독가능 저장매체로서,
미디어 노출들의 제1 부분은 데이터베이스 사업자의 제2 서버에 의해 제1 인구통계 정보가 인식될 수 있는 제1 사람에 대응하고,
논-커버리지 오류는 미디어 노출들의 제2 부분에 대응하는 제2 사람의 제2 인구통계 정보에 액세스할 수 없는 데이터베이스 사업자의 제2 서버로부터 발생하는, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
상기 명령어는 제1 서버가 (1) 제2 확률에 대한 제1 확률의 비율과 (2) 제1 인구통계 그룹에 기인하는 미디어 노출의 개수를 곱셈함으로써 제2 인구통계 정보를 결정하게 하는, 컴퓨터 판독가능 저장매체. - 제 13 항에 있어서,
제1 확률은 제1 인구통계 그룹에서의 사람이 제1 유형의 컴퓨팅 장치에서 미디어에 액세스할 가능성이며, 제2 확률은 제1 인구통계 그룹에서의 사람이 제2 유형의 장치에서 미디어에 액세스할 가능성인, 컴퓨터 판독가능 저장매체. - 제 13 항에 있어서,
상기 명령어는 또한 제1 서버가,
미디어 노출들의 서브세트를 제2 인구통계 그룹에서의 제2 사람에게 부정확하게 기인시키는 것에 대해 보상하도록 미디어 노출을 조정하게 하며, 제1 인구통계 그룹에 기인하는 미디어 노출의 개수는 부정확한 기인에 대해 보상하도록 조정되는 미디어 노출들의 서브세트로부터 결정되는, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
제1 유형의 컴퓨팅 장치는 모바일 장치를 포함하고, 제2 유형의 장치는 텔레비전을 포함하는, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
제1 유형의 컴퓨팅 장치는 스마트폰, 태블릿 컴퓨터, 또는 휴대용 미디어 플레이어 중 적어도 하나를 포함하는, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
제1 확률 및 제2 확률은 미디어의 미디어 카테고리에 대응하는, 컴퓨터 판독가능 저장매체. - 제 18 항에 있어서,
미디어 카테고리는 코미디, 드라마, 정치, 리얼리티, 또는 미디어 카테고리 조합 중 적어도 하나인, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
상기 명령어는 또한 제1 서버가,
제2 인구통계 정보를 결정하기 전에,
미디어 노출들 중 하나를 유발하지 않은 사람에게 부정확하게 기인한 상기 미디어 노출들 중 하나에 대한 미디어 노출을 조정하게 하는, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
상기 명령어는 또한 제1 서버가, 사람들의 설문조사에 대한 설문조사 응답에 기반하여 제1 확률 및 제2 확률을 계산하게 하고,
상기 명령어는 제1 서버가, 설문조사 응답으로부터, 인구통계 그룹, 미디어 카테고리, 컴퓨팅 장치의 유형, 또는 지리적 영역 중 적어도 하나와 관련된 가중치를 결정함으로써 제1 확률을 계산하게 하며,
상기 가중치는 관심 있는 장치 유형에서 미디어 노출과 관련된 미디어에 액세스할 각각의 확률들을 표시하는, 컴퓨터 판독가능 저장매체. - 제 21 항에 있어서,
설문조사는 랜덤 패널 또는 시청자 측정 엔티티에 의해 관리되는 시청자 구성원들의 패널 중 적어도 하나를 기초로 하는, 컴퓨터 판독가능 저장매체. - 제 12 항에 있어서,
상기 명령어는 제1 서버가:
사람들에 대응하는 상이한 인구통계 그룹들에게 기인될 수 있는 미디어 노출의 비율을 결정하고;
미디어 노출의 비율을 미디어 노출의 제2 부분으로 스케일링함으로써,
미디어 노출의 제2 부분에 대한 제2 인구통계 정보를 결정하게 하는, 컴퓨터 판독가능 저장매체. - 제1 서버에서, 제1 인터넷 도메인으로, 제1 유형의 컴퓨팅 장치에서 미디어로의 액세스를 나타내는 제1 네트워크 통신 메시지를 제1 유형의 컴퓨팅 장치의 제1 컴퓨팅 장치로부터 수신하는 단계;
제1 서버에서, 상기 제1 네트워크 통신 메시지에 대응하는 인구통계 정보를 요청하는 제1 서버로부터의 제2 네트워크 통신 메시지 및 제1 유형의 컴퓨팅 장치의 제2 컴퓨팅 장치로부터 제1 인터넷 도메인에서 수신되는 제3 네트워크 통신 메시지를 송신하는 단계;
제1 서버에서, 제1 유형의 컴퓨팅 장치에서 발생하는 미디어 노출의 수에 액세스하는 단계; 및
제1 서버에서, (1) 제2 네트워크 통신 메시지에 응답하여 데이터베이스 사업자의 제2 서버에 의해 제공되는, 미디어 노출들의 제1 부분에 대한 제1 인구통계정보, (2) 미디어 노출들에 대응하는 미디어가 제1 유형의 컴퓨팅 장치에 액세스될 제1 확률, 및 (3) 미디어가 제2 유형의 장치에 액세스될 제2 확률에 기반하여, 미디어 노출들의 제2 부분에 대한 제2 인구통계 정보를 결정함으로써 데이터베이스 사업자의 제2 서버로부터 발생하는 논-커버리지 오류를 보정하는 단계를 포함하는 방법으로서,
미디어 노출들의 제1 부분은 데이터베이스 사업자의 제2 서버에 의해 제1 인구통계 정보가 인식될 수 있는 제1 사람에 대응하고,
논-커버리지 오류는 미디어 노출들의 제2 부분에 대응하는 제2 사람의 제2 인구통계 정보에 액세스할 수 없는 데이터베이스 사업자의 제2 서버로부터 발생하는, 방법.
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KR1020217034007A KR102473454B1 (ko) | 2014-03-13 | 2014-12-04 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
KR1020227041801A KR102663453B1 (ko) | 2014-03-13 | 2014-12-04 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
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KR1020227041801A KR102663453B1 (ko) | 2014-03-13 | 2014-12-04 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
KR1020187037635A KR102193392B1 (ko) | 2014-03-13 | 2014-12-04 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
KR1020167024073A KR101934841B1 (ko) | 2014-03-13 | 2014-12-04 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
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KR20210132208A (ko) * | 2014-03-13 | 2021-11-03 | 더 닐슨 컴퍼니 (유에스) 엘엘씨 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
KR102473454B1 (ko) * | 2014-03-13 | 2022-12-02 | 더 닐슨 컴퍼니 (유에스) 엘엘씨 | 데이터베이스 사업자에 의한 기인오류 및/또는 논-커버리지에 대해 노출 데이터를 보상하기 위한 방법 및 장치 |
US11568431B2 (en) | 2014-03-13 | 2023-01-31 | The Nielsen Company (Us), Llc | Methods and apparatus to compensate for server-generated errors in database proprietor impression data due to misattribution and/or non-coverage |
US12045845B2 (en) | 2014-03-13 | 2024-07-23 | The Nielsen Company (Us), Llc | Methods and apparatus to compensate for server-generated errors in database proprietor impression data due to misattribution and/or non-coverage |
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