公开(公告)号：US20170372215A1

公开(公告)日：2017-12-28

申请号：US15630245

申请日：2017-06-22

申请人： Pluralsight, LLC

发明人： David Platt ,  David Mashburn ,  Krishna Kannan ,  Dane Thurber ,  Eric Stone

IPC分类号： G06N7/00 ,  G09B5/06 ,  G06N3/00 ,  G09B7/02 ,  G06F17/30

CPC分类号： G06N7/005 ,  G06F16/242 ,  G06F16/245 ,  G06F16/2455 ,  G06N3/006 ,  G06N20/00 ,  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.

公开(公告)号：US11210598B2

公开(公告)日：2021-12-28

申请号：US15630245

申请日：2017-06-22

申请人： Pluralsight, LLC

发明人： David Platt ,  David Mashburn ,  Krishna Kannan ,  Eric Stone

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.