- 专利标题: Extrapolating probabilistic predictions for skills using unanswered questions and determining corresponding instructional content
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申请号: US15630245申请日: 2017-06-22
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公开(公告)号: US11210598B2公开(公告)日: 2021-12-28
- 发明人: David Platt , David Mashburn , Krishna Kannan , Eric Stone
- 申请人: Pluralsight, LLC
- 申请人地址: US UT Farmington
- 专利权人: Pluralsight, LLC
- 当前专利权人: Pluralsight, LLC
- 当前专利权人地址: US UT Farmington
- 代理机构: Kilpatrick Townsend & Stockton, LLP
- 主分类号: G06N7/00
- IPC分类号: G06N7/00 ; G06F16/2455 ; G06F16/242 ; G06N20/00 ; G06F16/245 ; G06N3/00 ; G09B5/06 ; G09B7/02
摘要:
A system and method for providing customized content recommendations to a user based on extrapolated data is described. The system may receive an answer to a question from a user and determine a second unanswered question having a threshold relationship level with the question. The system may compute a predicted probability that the user would answer the second question correctly, calculate a first comparative skill level of the user among a cohort of similar users, and rank the first comparative skill level of the user against a second comparative skill level of the cohort to determine a skill gap of the user. Further, in some implementations, the system may generate a search query based on the skill gap of the user, and determine recommended content customized to the skill gap of the user.
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IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |