Invention Grant
- Patent Title: Techniques for improving the quality of subjective data
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Application No.: US15406617Application Date: 2017-01-13
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Publication No.: US10586110B2Publication Date: 2020-03-10
- 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
- Agency: Artegis Law Group, LLP
- Main IPC: H04N11/02
- IPC: H04N11/02 ; G06K9/00 ; H04N21/466 ; H04N17/00 ; G06K9/03 ; G06T3/40 ; G06T7/00 ; H04N21/44 ; H04N21/475

Abstract:
In various embodiments, a subjective modeling engine mitigates inaccuracies in subjective content assessments. The subjective modeling engine generates a model that includes the subjective content assessments in addition to parameters for subjective scores and subjective factors. The subjective modeling engine initializes the parameters and then performs optimization operations that increase the likelihood that the optimized subjective scores compensate for the optimized subjective factors. Advantageously, because the subjective modeling engine jointly optimizes the subjective scores and the subjective factors, the optimized subjective scores provide unbiased and consistent digital content assessments.
Public/Granted literature
- US20180121730A1 Techniques for Improving the Quality of Subjective Data Public/Granted day:2018-05-03
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