公开(公告)号：US11874893B2

公开(公告)日：2024-01-16

申请号：US16684426

申请日：2019-11-14

Applicant: Microsoft Technology Licensing, LLC

Inventor： Amit Gupta ,  Neeraj Sharma ,  Prashant Raj Bhugra ,  Sumit Chatterjee ,  Avishek Mazumder ,  Vivek Jain ,  Shilpa Gopinathan Nair

IPC: G06F16/958 ,  G06F9/451 ,  G06F16/957 ,  G06F16/9538

CPC classification number: G06F16/958 ,  G06F9/451 ,  G06F16/9538 ,  G06F16/9577

Abstract: Aspects of the present disclosure relate to modularizing and embedding modules across a variety of web applications. More specifically, the present disclosure provides an adaptive UI module to web application servers that adapts its format upon evaluating an environment of the web application and receiving a user request for supplemental information. For example, a single adaptive UI module may be used across a variety of web applications, with a variety of requests for supplemental content from within each web application, to generate multiple, unique formatted UI modules. In this way, a single adaptive UI module may generate formatted UI modules specific to the formatting requirements of each requesting web application, with supplemental content related to each unique user request from within each web application.

公开(公告)号：US20190087746A1

公开(公告)日：2019-03-21

申请号：US15706010

申请日：2017-09-15

Applicant: Microsoft Technology Licensing, LLC

Inventor： Navendu Jain ,  Vivek Jain

IPC: G06N99/00 ,  G06N5/02 ,  G06Q30/00

Abstract: Methods for automatic and intelligent incident routing are performed by systems and apparatuses. The methods intelligently optimize routing of incidents to correct owners from a pool of many possible owners by utilizing learning models and algorithms based on feature vectors. Users provide information related to incidents of services or systems. The information is cleaned and featurized to generate a feature vector for the incident. The systems and apparatuses intelligently and automatically determine sets of candidate recipients based on outputs of algorithms, e.g., machine learning algorithms, such as classifiers using the feature vectors as inputs. Classifiers may utilize models or algorithms trained with featurizations used for feature vectors. Sets of candidate recipients are provided to users for selection of a recipient for the information from the set of candidate recipients instead of from all the possible recipients. Methods for intelligent bug and feedback routing are also performed by systems and apparatuses.

公开(公告)号：US11030547B2

公开(公告)日：2021-06-08

申请号：US15706010

申请日：2017-09-15

Applicant: Microsoft Technology Licensing, LLC

Inventor： Navendu Jain ,  Vivek Jain

IPC: G06N20/00 ,  G06Q30/00 ,  G06N5/02

Abstract: Methods for automatic and intelligent incident routing are performed by systems and apparatuses. The methods intelligently optimize routing of incidents to correct owners from a pool of many possible owners by utilizing learning models and algorithms based on feature vectors. Users provide information related to incidents of services or systems. The information is cleaned and featurized to generate a feature vector for the incident. The systems and apparatuses intelligently and automatically determine sets of candidate recipients based on outputs of algorithms, e.g., machine learning algorithms, such as classifiers using the feature vectors as inputs. Classifiers may utilize models or algorithms trained with featurizations used for feature vectors. Sets of candidate recipients are provided to users for selection of a recipient for the information from the set of candidate recipients instead of from all the possible recipients. Methods for intelligent bug and feedback routing are also performed by systems and apparatuses.