公开(公告)号：US20180285770A1

公开(公告)日：2018-10-04

申请号：US15475551

申请日：2017-03-31

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Lydia MANIKONDA ,  Shirin SOHRABI ARAGHI ,  Biplav SRIVASTAVA ,  Kartik TALAMADUPULA

IPC分类号： G06N99/00 ,  G06N7/00

摘要： Embodiments for learning personalized actionable domain models by a processor. A domain model may be generated according to a plurality of actions, extracted from one or more online data sources, of a plurality of cluster representatives. The plurality of actions achieve a goal. A hierarchical action model may be generated based on probabilities of the domain model and the plurality of actions. The hierarchical action model comprises a sequence of actions of the plurality of actions for achieving the goal. The hierarchical action model may be personalized by filtering to a selected set of actions according to weighted actions of the plurality of actions.