Granted Patent B2

US 12,392,625 · App. 17/448,408 · Granted Aug 19, 2025

Inventors: Sharath Kumar Rudrapatna Krishnarao (Bangalore, IN); Rahul Reddy Ravipally (Bengaluru, IN); Manoj Jahgirdar (Belagavi, IN); Manjula Golla Hosurmath (Bangalore, IN)

Assignee: International Business Machines Corporation

G01C21/3484G01C21/3667G06F16/9024G06N20/00

Abstract

Claims (40)

1. A method for persona-based navigation, the method comprising:

obtaining information about a user by a machine learning component, wherein information includes said user's mobility, user's age, user's ability, user's gender and user's preferences;

obtaining historical data about said user's previous selections by said machine learning component when available;

creating a user persona based navigation program using one or more sources and also using obtained information about said user and any obtained historical data about said user by said machine learning component and said user submitted questionnaire in real-time;

classifying using a machine learning model data collected for said user to navigate from a starting point to a target point based on said user mobility and preferences;

analyzing classified data, obtained information and historical data using said machine learning component to predict a route identified between said starting point and said target point based on a set of criteria including at least distance, physical condition of said user, user preferences and/or cost of travel a certain route;

developing a routing system based on analysis performed and by identifying one or more detected patterns provided by a recognition model used by said machine learning component to navigate one or more routes between said starting point and said target point;

obtaining feedback data about any feedback from a plurality of similarly situation users and with similar mobility and preferences navigating between said starting point and said target point;

updating said developed route system based on obtained feedback data,

updating said routing system continuously and dynamically based on changes to said user's persona, and predictions on changes to said route based on determinations made by a machine learning algorithm, wherein said route system provides a plurality of routes when applicable, along with recommendations which best fit said created user persona; and

generating and presenting to said user with at least one route option based on the developed route system.

2. The method of claim 1 , wherein the created persona is based on a dynamic questionnaire.

3. The method of claim 1 , wherein the developed routing system is based on a graph.

4. The method of claim 1 , wherein the at least one route option includes at least one additional stop for the user, based on self-learning and feedback of said machine learning algorithm and wherein said additional stop does not relate to the navigation route but has to do with one or more needs relating to said user as determined from said obtained information about said user.

5. The method of claim 1 , wherein the at least one route option is updated dynamically based on an update to a dynamic questionnaire.

6. The method of claim 1 , further comprising:

updating the developed routing system based on feedback from a user.

7. A computer system for persona-based navigation, comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: obtaining information about a user by a machine learning component and said user submitted questionnaire in real-time, wherein information includes said user's mobility, user's age, user's ability, user's gender and user's preferences; obtaining historical data about said user's previous selections by said machine learning component when available; creating a persona-based navigation program using one or more sources and also using obtained information about said user and any obtained historical data about said user by said machine learning component; classifying using a machine learning model data collected for said user to navigate from a starting point to a target point based on said user mobility and preferences; analyzing classified data, obtained information and historical data using said machine learning component to predict a route identified between said starting point and said target point based on a set of criteria including at least distance, physical condition of said user, user preferences and/or cost of travel a certain route; developing a routing system based on analysis performed and by identifying one or more detected patterns provided by a recognition model used by said machine learning component to navigate one or more routes between said starting point and said target point; obtaining feedback data about any feedback from a plurality of similarly situation users and with similar mobility and preferences navigating between said starting point and said target point; updating said developed route system based on obtained feedback data; updating said routing system continuously and dynamically based on changes to said user's persona, and predictions on changes to said route based on determinations made by a machine learning algorithm, wherein said route system provides a plurality of routes when applicable, along with recommendations which best fit said created user persona; and generating and presenting to said user with at least one route option based on the developed route system.

8. The computer system of claim 7 , wherein the created persona is based on a dynamic questionnaire.

9. The computer system of claim 7 , wherein the developed routing system is based on a graph.

10. The computer system of 7 , wherein the at least one route option includes at least one additional stop for the user, based on self-learning and feedback of said machine learning algorithm and wherein said additional stop does not relate to the navigation route but has to do with one or more needs relating to said user as determined from said obtained information about said user.

11. The computer system of claim 7 , wherein the at least one route option is updated dynamically based on an update to a dynamic questionnaire.

12. The computer system of claim 7 , further comprising:

updating the developed routing system based on feedback from a user.

13. A computer program product for persona-based navigation, comprising:

one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:

obtaining information about a user by a machine learning component, wherein information includes user's mobility, user's age, user's ability, user's gender and said user preferences;

obtaining historical data about said user's previous selections by said machine learning component when available;

creating a persona-based navigation program using one or more sources and also using obtained information about said user and any obtained historical data about said user by said machine learning component;

classifying using a machine learning model data collected for said user to navigate from a starting point to a target point based on said user mobility and preferences;

analyzing classified data, obtained information and historical data using said machine learning component to predict a route identified between said starting point and said target point based on a set of criteria including at least distance, physical condition of said user, user preferences and/or cost of travel a certain route;

developing a routing system based on analysis performed and by identifying one or more detected patterns provided by a recognition model used by said machine learning component to navigate one or more routes between said starting point and said target point;

obtaining feedback data about any feedback from a plurality of similarly situation users and with similar mobility and preferences navigating between said starting point and said target point;

updating said developed route system based on obtained feedback data;

updating said routing system continuously and dynamically based on changes to said user's persona, and predictions on changes to said route based on determinations made by a machine learning algorithm; and

generating and presenting to said user with at least one route option based on the developed route system.

14. The computer program product of claim 13 , wherein the created persona is based on a dynamic questionnaire.

15. The computer program product of claim 13 , wherein the developed routing system is based on a graph.

16. The computer program product of claim 13 , wherein the at least one route option includes at least one additional stop for the user, based on self-learning and feedback of said machine learning algorithm and wherein said additional stop does not relate to the navigation route but has to do with one or more needs relating to said user as determined from said obtained information about said user.

17. The computer program product of claim 13 , wherein the at least one route option is updated dynamically based on an update to a dynamic questionnaire.

Assignments (1)

Continuity (1)

References Cited (29)