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公开(公告)号:US20220292999A1
公开(公告)日:2022-09-15
申请号:US17201672
申请日:2021-03-15
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: Matthew Kratzer , Gary Gadson , Justin Hone , Sean Griffith , Christopher Rebacz , Jonathan Remington , Antoine Diffloth , Arvind Shankar Prabhakar , Qiuying Jiang , Michael Lemen , Michael Maher , Aaron Thomas , David E. Patterson
Abstract: Aspects of the subject disclosure may include, for example, receiving employee performance data for a group of employees including a particular employee, the employee performance data including particular performance data for the particular employee, the employee performance data associated with key performance indicator (KPIs) for the group of employees including a particular KPI associated with the a task performed by the particular employee; determining, for a plurality of training courses, a probability of each training course being associated with improved performance by the group of employees for each KPI of the KPIs; producing a probability distribution and a confidence score, recommending, based on the probability distribution, one or more recommended training courses for the employee; exploring, based on the confidence score, training courses of the plurality of training courses having a relatively low confidence score; receiving subsequent performance data for a time period following completion of the one or more recommended training courses by the particular employee; evaluating effectiveness of the one or more training courses based on the subsequent performance data; and modifying at least one recommended training course of the one or more recommended training courses, wherein the modifying is responsive to the evaluating effectiveness. Other embodiments are disclosed.
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公开(公告)号:US20230153873A1
公开(公告)日:2023-05-18
申请号:US17529964
申请日:2021-11-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Qiuying Jiang , Ana Armenta , Prince Paulraj , Jean Luo
CPC classification number: G06Q30/04 , G06F16/2379
Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of a first change to a first aspect of a user account; applying some or all of the first information to a first model to determine a first score associated with the first change; aggregating the first score with one or more first prior scores associated with one or more prior changes to the first aspect of the user account, resulting in a first aggregate score; obtaining second information indicative of a second change to a second aspect of the user account; applying some or all of the second information to a second model, that is different from the first model, to determine a second score associated with the second change; aggregating the second score with one or more second prior scores associated with one or more prior changes to the second aspect of the user account, resulting in a second aggregate score; and storing the first aggregate score and the second aggregate score in a database. Other embodiments are disclosed.
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