公开(公告)号：US20210350209A1

公开(公告)日：2021-11-11

申请号：US17278437

申请日：2018-09-28

申请人： Jin WANG ,  Hao HUANG ,  Ting-Kun LI ,  Nai-Long WEN ,  Zhen CUI ,  David BARON ,  MICRO FOCUS LLC

发明人： Jin WANG ,  Hao HUANG ,  Ting-Kun LI ,  Nai-Long WEN ,  Zhen CUI ,  David BARON

IPC分类号： G06N3/04 ,  G06F16/332 ,  G06F16/33 ,  G06N3/08

摘要： In some examples, with respect to intent and context-aware dialogue based virtual assistance, an intent of an inquiry may be determined using an intent classification model. A determination may be made as to whether the determined intent matches a pre-specified intent of a plurality of pre-specified intents. Based on a determination that the determined intent does not match the pre-specified intent, a question related to the inquiry may be generated. Another intent of the inquiry may be determined by analyzing a response to the question using the intent classification model. A determination may be made as to whether the determined other intent matches another pre-specified intent of the plurality of pre-specified intents. Based on a determination that the determined other intent does not match the other pre-specified intent, a deep learning model may be utilized to predict a response to the inquiry.

公开(公告)号：US20220035908A1

公开(公告)日：2022-02-03

申请号：US17278726

申请日：2018-09-30

申请人： MICRO FOCUS LLC

发明人： Hao HUANG ,  Jin WANG ,  Jan STEUBE ,  Nai-Long WEN ,  Zhen CUI

IPC分类号： G06F21/55

摘要： A computing device includes a processor and a machine-readable storage medium storing instructions. The instructions are executable by the processor to: receive input data defining an information technology (IT) change request; in response to a receipt of the input data, perform a first risk classification of the IT change request using a decision tree model; generate a graphical user interface based on the first risk classification, the graphical user interface indicating risk impacts for each of a plurality of request features, and the graphical user interface including a graphic representation of the decision tree model; in response to a user modification to a first request feature of the plurality of request features in the graphical user interface, automatically perform a second request analysis using the decision tree model; and automatically update the graphical user interface based on the second request analysis.