CPC G06Q 10/1095 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
12. A computer-implemented method comprising:
collecting information and constraints with respect to service visits, wherein at least a portion of the collected information and constraints are directed toward weather and climate comprising:
generating, through a machine learning technology, questions and raise subjects of interest for the user;
predicting, through the machine learning technology, weather and climate impacts on at least one geographical region of interest;
predicting, automatically, through the machine learning technology, subject to the predictions of weather and climate impacts, one or more locations of interest within the at least one geographical region of interest that would be impacted by one or more service visits;
generating, through the machine learning technology, one or more spatio-temporal calendars that include the one or more locations of interest scheduled for the one or more service visits; and
ingesting, by the machine learning technology, feedback from the users, wherein, subject to the ingesting of the feedback, the method further comprising:
evaluating the effectiveness of the generated questions and subjects of interest raised;
updating the machine learning technology with respect to predictions of the one or more locations of interest: and
improving an effectiveness of the questions generated and subjects of interest raised.
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