Method and system for providing personal travel advice to a user

• US 20020147619A1
• Filed: 04/05/2001
• Published: 10/10/2002
• Est. Priority Date: 04/05/2001
• Status: Abandoned Application

• Current Assignee: Vacationcoach Incorporated
• Original Assignee: Vacationcoach Incorporated
• Inventors: Roberts, Robert, Donovan, Daniel P., Mihaylov, Ognian, Guglietti, Chris, Floss, Peter, Kratchounova, Lora, Wasserman, Steve, Wills, Laura, Liggett, Steve
• Application Number:
  US09/827,054
• Publication Number:
  US 20020147619A1
• Time in Patent Office: Days
• US Class Current: 705/5
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method and system for providing personal travel advice to a user is provided. The method and system includes a profiling engine that prepares a personalized profile for a particular user by gathering user-specific data regarding an individual'"'"'s likes, dislikes, lifestyle, interests, activities and budget for the vacation. Several profiles for members of a group travelling together can be combined to obtain recommendations for the group. An advice engine combines information from various expert knowledge bases to provide recommended travel destinations. The profiles may also be used to check a destination for its appropriateness, and to request a similar destination to one enjoyed previously by the individual or the group.

Claims

1. A method of providing personalized travel advice over the Internet to a computer user, including the steps of:

(A) preparing a profile of personal travel preferences for an individual;

(B) preparing a travel request for an individual or group of individuals including profiles for said individual or group;

(C) combining a profile of at least one individual, with information obtained from said at least one individual concerning travel preferences for a particular travel arrangement to obtain a set of personalized scores;

(D) mapping said personalized scores onto a database of expert information concerning destinations; and

(E) matching characteristics of those destinations with said at least one profile and travel request to produce a list of recommended travel destinations.

2. The method as defined in claim 1, including, when preparing a profile, the further step of:

providing a series of questions for said individual to answer on subject matters including lifestyle, activities and travel interests.

3. The method as defined in claim 2, including the further step of:

combining profiling elements with information received from said individual, wherein said profiling elements include travel expert characteristic knowledge.

4. The method as defined in claim 1, including the further step of:

providing vacation request queries for said individual on subject matters including activities and interests.

5. The method as defined in claim 4, including the further step of:

providing as one of said vacation request queries a sliding scale allowing a rated response for each activity and interest.

6. The method as defined in claim 1, including the further step of combining information received from said individual with the following information:

(A) travel expert advice characteristics;

(B) leisure advice rules; and

(C) real world knowledge;

7. The method as defined in claim 1 including the further step of:

combining information received from said individual with information including at least one of the following;

(A) travel expert destination knowledge;

(B) factual data;

(C) activity and interest expert information; and

(D) activity and interest knowledge

8. The method as defined in claim 1, including the further step of:

scoring said individual responses and information obtained from said individual by assigning each parameter a particular value.

9. The method as defined in claim 8, including the further step of:

filtering destinations based upon selections made by said individual.

10. The method as defined in claim 9, including the further step of said filtering based upon geographic region.

11. The method as defined in claim 9 wherein said filtering step includes filtering based upon travel mode.

12. The method as defined in claim 9 including said filtering step having said filter based upon travel time.

13. The method as defined in claim 9 including said filtering step including said filtering step including a filter being based upon a budget.

14. The method as defined in claim 8 included the further step of:

adjusting said values determined in said scoring step for various categories including those of climate, season and travel constraints.

15. The method as defined in claim 14 including the further step of:

mapping a particular destination against the profile of an individual to determine the extent to which the chosen destination compares with the individual'"'"'s scoring results.

17. The method as defined in claim 16 including the further step of:

mapping a particular destination selected by an individual user against the scores of the prescribed personality.

18. The method as defined in claim 10 including the further step of:

mapping a selected destination to other destinations to produce a list of similar destinations.

19. The method as defined in claim 18 including the further step of:

providing a prompt for selection by a user to obtain details of why a particular destination was chosen.

20. The method as defined in claim 18 wherein

said predetermined personalities are provided for selection by the user for obtaining destinations comparing favorably to characteristics based on the prescribed personality.

21. The method as defined in claim 1 wherein two or more individuals are requesting advice for travelling as a group, said method including the further step of:

(A) preparing a profile for each member of the group; and

(B) combining the profiles for each member of the group and the request to produce travel recommendations which best match the preferences of the group.

16. The method as defined in clam 14 including the further step of:

providing prescribed personalities that are predefined full profiles that fit a particular personality type design.

22. A system for providing personal travel advice to a user, comprising:

(A) a travel advice server including an information storage device, a central processing unit controlled by an associated clock, a communications port and a destination storage device including;

(1) a profiling engine for preparing a profile of an individual user based upon the user input regarding travel characteristics and preferences; and

(2) an advice engine that accesses a destination base, database and a database of expert knowledge to provide travel advice and recommendations based upon said individual profile produced by said profiling engine, and the information in said destination database and said expert knowledge database;

(B) Internet service provider interface; and

(C) personal computer coupled with said Internet service provider interface, which in turn communicates with, said server through which personalized travel advice is provided to said user via a personal computer.

24. The system as provided in claim 22 in which said advice engine includes:

means for producing a user interface which displays a slider bar under which pointers may be placed by said user via a cursor associated with said personal computer to determine the level of importance of certain interests and activities to said user or a particular travel arrangement.

25. The method as defined in claim 22 wherein

said profiling engine includes means for producing a user interface which displays a table under which indicators can be moved by said user to indicate the importance of interests the user may have in a particular circumstance.

27. The method of claim 26 wherein a group of individuals make a request, and wherein said method includes the further step of:

(A) preparing a profile for each of individual;

(B) combining the profiles of the individuals and the request; and

(C) mapping the combined profiles and the request onto said database of expert information to produce the optimum result for the group.

23. The system as described in clam 22, wherein

said profiling engine includes means for producing a user interface on said personal computer using which information may be obtained from said user by said user moving a cursor associated with said personal computer along a sliding scale to indicate the degree to which said user evaluates a particular parameter related to travel.

26. A method of providing personalized travel and leisure advice to a user, including the steps of:

(A) preparing a profile of personal travel and leisure preferences for and individual;

(B) obtaining a request from said individual for a specific instance of travel or leisure pursuits;

(C) combining said profile and said request for said individual to obtain a set of personalized scores;

(D) mapping said set of personalized scores onto a database of expert information concerning travel and leisure;

(E) matching characteristics of travel and leisure items with said individual'"'"'s profile and request to produce a personalized list of recommended travel and leisure pursuits for that individual.