Invention Grant
- Patent Title: Audience forecasting for digital video content
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Application No.: US15825521Application Date: 2017-11-29
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Publication No.: US10609452B2Publication Date: 2020-03-31
- Inventor: Praveen Kumar Goyal , Ashish Duggal , Atul Kumar Shrivastava , Prakash Tripathi , Kumar Mrityunjay Singh
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: SBMC
- Main IPC: H04N21/466
- IPC: H04N21/466 ; G06Q30/02 ; H04N21/262 ; G06F17/12 ; G06F16/2457 ; H04N21/258 ; H04N21/81 ; G06F16/735

Abstract:
Techniques and systems are described to enable an analytics system to generate a forecast value for audience impressions of subsequent digital video content. In one example, an analytics system generated a linear regression model using data. The data describes audience segment values for past audience impressions of digital video content and a time series of when the digital video content is made available for consumption. The analytics system generates forecast values for audience impressions of digital video content using the linear regression model. In one example, the analytics system generates a forecast value for audience impressions of a subsequent item of digital video content based on scheduled availability for the subsequent item.
Public/Granted literature
- US20190166402A1 Audience Forecasting for Digital Video Content Public/Granted day:2019-05-30
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