PERSONALIZED TRAVEL PLANNER THAT IDENTIFIES SURPRISING EVENTS AND POINTS OF INTEREST

• US 20170236223A1
• Filed: 02/11/2016
• Published: 08/17/2017
• Est. Priority Date: 02/11/2016
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Dholakia, Mishal, Lenchner, Jonathan, Pinel, Florian, Shrinivasan, Yedendra B., Guo, Shang Q.
• Application Number:
  US15/041,469
• Publication Number:
  US 20170236223A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/1093 Calendar-based scheduling for persons or groups
• CPC Class Codes: G06Q 50/14 Travel agencies

Abstract

Methods, systems, and computer program products for automatically identifying surprising travel events and/or points of interest for a user are provided herein. A computer-implemented method includes identifying a plurality of potential items for the user; determining a personality type profile for the user using a personality assessment tool; determining a travel personality type and/or a travel personality type profile for the user based on a mapping of a plurality of user personality types to a plurality of predefined travel personality types; determining a personality type profile for the potential items using the personality assessment tool; identifying at least one potential item for the user by matching the personality type profile of the user to the personality type profile for the plurality of potential items; filtering the identified at least one potential item based on predefined surprise criteria; and selecting at least one filtered item for the user that satisfies the predefined surprise criteria.

Claims

1. A computer-implemented method, comprising:

identifying a plurality of potential items for said user;

determining a personality type profile for said user using a personality assessment tool, wherein said tool is executed by at least one processing device;

determining, using at least one processing device, one or more of a travel personality type and a travel personality type profile for said user based on a mapping of a plurality of user personality types to a plurality of predefined travel personality types;

determining a personality type profile for said plurality of potential items using said personality assessment tool, wherein said tool is executed by at least one processing device;

identifying, using at least one processing device, at least one of said plurality of potential items for said user by matching the personality type profile of the user to the personality type profile for said plurality of potential items;

filtering, using at least one processing device, said identified at least one potential item based on one or more predefined surprise criteria; and

selecting at least one filtered item for said user that satisfies said one or more predefined surprise criteria, wherein at least one of said predefined surprise criteria are based on one or more of the travel personality type and the travel personality profile of the user.

2. The computer-implemented method of claim 1, wherein the plurality of potential items are selected based on one or more of a location of interest of the user and dates of travel of the user.

3. The computer-implemented method of claim 1, wherein the plurality of potential items comprise one or more of points of interest and events.

4. The computer-implemented method of claim 1, wherein the one or more of the travel personality type and the travel personality type profile for said user is determined by analyzing a collection of content of the user using the personality assessment tool.

5. The computer-implemented method of claim 1, wherein the one or more predefined surprise criteria comprise one or more of membership in one or more of a list of classes of items that the user is unlikely to select based on the one or more of the travel personality type and the travel personality type profile of the user, a list of predefined keywords indicating surprise, and a threshold number of reviews of a given item.

6. The computer-implemented method of claim 1, wherein the step of determining a personality type profile for said plurality of potential items further comprises the step of determining a travel personality type for said plurality of potential items.

7. The computer-implemented method of claim 1, wherein the mapping of the plurality of personality types to the plurality of predefined travel personality types provides a score for each pair of personality type and predefined travel personality type.

8. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to:

identify a plurality of potential items for said user;

determine a personality type profile for said user using a personality assessment tool, wherein said tool is executed by at least one processing device;

determine, using at least one processing device, one or more of a travel personality type and a travel personality type profile for said user based on a mapping of a plurality of user personality types to a plurality of predefined travel personality types;

determine a personality type profile for said plurality of potential items using said personality assessment tool, wherein said tool is executed by at least one processing device;

identify, using at least one processing device, at least one of said plurality of potential items for said user by matching the personality type profile of the user to the personality type profile for said plurality of potential items;

filter, using at least one processing device, said identified at least one potential item based on one or more predefined surprise criteria; and

select at least one filtered item for said user that satisfies said one or more predefined surprise criteria, wherein at least one of said predefined surprise criteria are based on one or more of the travel personality type and the travel personality profile of the user.

9. The computer program product of claim 8, wherein the plurality of potential items are selected based on one or more of a location of interest of the user and dates of travel of the user.

10. The computer program product of claim 8, wherein the plurality of potential items comprise one or more of points of interest and events.

11. The computer program product of claim 8, wherein the one or more of the travel personality type and the travel personality type profile for said user is determined by analyzing a collection of content of the user using the personality assessment tool.

12. The computer program product of claim 8, wherein the one or more predefined surprise criteria comprise one or more of membership in one or more of a list of classes of items that the user is unlikely to select based on the one or more of the travel personality type and the travel personality type profile of the user, a list of predefined keywords indicating surprise, and a threshold number of reviews of a given item.

13. The computer program product of claim 8, wherein personality type profile for said plurality of potential items is determined by determining a travel personality type for said plurality of potential items.

14. The computer program product of claim 8, wherein the mapping of the plurality of personality types to the plurality of predefined travel personality types provides a score for each pair of personality type and predefined travel personality type.

15. A system comprising:

a memory; and

at least one processor coupled to the memory and configured for;

identifying a plurality of potential items for said user;

determining a personality type profile for said user using a personality assessment tool, wherein said tool is executed by at least one processing device;

determining, using at least one processing device, one or more of a travel personality type and a travel personality type profile for said user based on a mapping of a plurality of user personality types to a plurality of predefined travel personality types;

determining a personality type profile for said plurality of potential items using said personality assessment tool, wherein said tool is executed by at least one processing device;

identifying, using at least one processing device, at least one of said plurality of potential items for said user by matching the personality type profile of the user to the personality type profile for said plurality of potential items;

filtering, using at least one processing device, said identified at least one potential item based on one or more predefined surprise criteria; and

selecting at least one filtered item for said user that satisfies said one or more predefined surprise criteria, wherein at least one of said predefined surprise criteria are based on one or more of the travel personality type and the travel personality profile of the user.

16. The system of claim 15, wherein the plurality of potential items are selected based on one or more of a location of interest of the user and dates of travel of the user.

17. The system of claim 15, wherein the plurality of potential items comprise one or more of points of interest and events.

18. The system of claim 15, wherein the one or more of the travel personality type and the travel personality type profile for said user is determined by analyzing a collection of content of the user using the personality assessment tool.

19. The system of claim 15, wherein the one or more predefined surprise criteria comprise one or more of membership in one or more of a list of classes of items that the user is unlikely to select based on the one or more of the travel personality type and the travel personality type profile of the user, a list of predefined keywords indicating surprise, and a threshold number of reviews of a given item.

20. The system of claim 15, wherein the mapping of the plurality of personality types to the plurality of predefined travel personality types provides a score for each pair of personality type and predefined travel personality type.