• Patent Title: TECHNIQUES FOR INCREASING THE ACCURACY OF SUBJECTIVE QUALITY EXPERIMENTS
  • Application No.: US17840544
    Application Date: 2022-06-14
  • Publication No.: US20220383348A1
    Publication Date: 2022-12-01
  • Inventor: Zhi LI
  • Applicant: NETFLIX, INC.
  • Applicant Address: US CA Los Gatos
  • Assignee: NETFLIX, INC.
  • Current Assignee: NETFLIX, INC.
  • Current Assignee Address: US CA Los Gatos
  • Main IPC: G06Q30/02
  • IPC: G06Q30/02
TECHNIQUES FOR INCREASING THE ACCURACY OF SUBJECTIVE QUALITY EXPERIMENTS
Abstract:
In various embodiments, a data optimization application mitigates scoring inaccuracies in subjective quality experiments. In operation, the data optimization application generates a model that includes a first set of individual scores and a first set of parameters. The first set of parameters includes a first subjective score set and a first set of subjective factor sets. The data optimization application performs one or more optimization operations on the first set of parameters to generate a second set of parameters. The second set of parameters includes a second subjective score set and a second set of subjective factor sets, wherein the second subjective score set compensates for at least a first subjective factor set included in the second set of subjective factor sets. The data optimization application also computes a participant evaluation report based on at least a second subjective factor sets included in the second set of subjective factor sets
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