Travel

1. A system for providing travel information to an end user in an intelligent way using a search result, said system comprising:

a user database configured for storing user profile information including users' zip codes;

a regional information database containing information relating to a plurality of cities;

a local events feed retrieval system comprising:

a rules-based engine for obtaining local event information relating to said plurality of cities from a plurality of external partners via custom codes in XML format; and

a local event feed retrieval database configured to process said local event information relating to said plurality of cities;

a server operatively coupled with said user database, said regional information database, and said local events feed retrieval system, wherein said server is configured to receive a request for travel information from the end user and configured to determine said end user's home location by referencing said user's zip code in said user database, wherein said home location is determined to be one city from among the plurality of cities that is the closest to said user's zip code;

a context determination module configured to determine a context from said received request for travel information automatically, depending only on what said end user requests;

wherein said context determination module processes a user entered phrase using a search mechanism to simultaneously determine both:

travel destination information relevant to said end user, wherein travel destination information includes only designation information about said user's home location and the three closest cities, from among the plurality of cities, to the user's home location; and

at least one user-interest that corresponds to said received requests; and

a searching module configured to search for a plurality of search results based said context, wherein each search result from among said plurality of search result comprises each of:

logistical travel information relating to said travel destination; and

location-specific, interest-dependent, and dynamic information corresponding to local events held in said user's home location and the three closest cities, from among the plurality of cities, to the user's home location;

wherein said server is further configured to return said plurality of search results to the end user via a browser-based interface, wherein said plurality of search results are organized by both:

the city in which said local events occur; and

the relative distance that said region, city, and urban area is from said home location.

2. The system of claim 1 , said server further comprising:

a spell check tool for providing a spell check service to an end user for assisting an end user in providing correct spelling of said request for travel information.

3. The system of claim 2 , wherein said spell check tool further comprises any of:

means for suggesting alternate spellings of a word in said request for travel information;

means for providing similarly spelled words or relevant phrases; and

means for settling ambiguity among said word with other words or phrases having similar parts of said word.

4. The system of claim 1 , further comprising:

lookup tables for determining matches to facilitate processing said request for travel information.

5. The system of claim 1 , said context determination module further comprising:

a plurality of context determining categories; and

means for determining at least one context determining category.

6. The system of claim 1 , said search result comprising: the following travel categories:

destination guides;

canned keywords;

hot deals; and

lodging.

7. The system of claim 6 , wherein said local events comprise at least a concert.

8. The system of claim 1 , wherein said location-specific, interest-dependent, and dynamic information comprises any of:

a hot deal; and

a fare watch.

9. The system of claim 1 , wherein said server is a web server and said travel information is presented in one web page.

10. The system of claim 9 , wherein said one web page comprises:

a more link for facilitating linking to more detailed information as an option.

11. The system of claim 10 , wherein said more detailed information comprises information reflecting and associated with at least one context determining category.

12. The system of claim 1 , wherein said provided travel information comprises any of:

a fare watch;

weekend e-fares;

local events;

hot deals;

links to other cities; and

maps.

13. The system of claim 1 , further comprising:

means for filtering out travel information not relevant to said home location.

14. The system of claim 1 , further comprising:

a multi-hierarchical schema for organizing geographical regions to facilitate determining relevant travel information, wherein content in said regions overlap.

15. The system of claim 14 , wherein geographical regions comprise urban regions.

16. The system of claim 15 , wherein said urban regions comprise content from other nearby and relevant cities associated with said home location.

17. The system of claim 1 , further comprising:

a multi-hierarchical schema for organizing at least one geographical region to facilitate determining relevant travel information,

wherein said multi-hierarchical schema comprises levels of a state, a region within said state, and cities within said region.

18. A method implemented in hardware for providing travel information to an end user in an intelligent way using a search result, said method comprising:

storing user profile information including users' zip codes in a user database;

storing information relating to a plurality of cities in a regional information database;

providing a local events feed retrieval system comprising a rules-based engine for said obtaining local event information relating to said plurality of cities from a plurality of internal and external partner via custom codes in XML format;

providing a local events feed retrieval database configured to process said local event information relating to said plurality of cities;

receiving a request for travel information from the end user via a server operatively coupled with said user database and said regional information database;

automatically determining said end user's home location by referencing said user's zip code in said database, wherein said home location is determined to be one city from among the plurality of cities that is the closet to said user's zip code;

processing said request into a query;

automatically determining a context from said received request for travel information in the form of both:

travel destination information relevant to said end user, wherein travel destination information includes only designation information about said end user's home location and the three closest cities, from among the plurality of cities, to said user's home location; and

at least one user-interest that corresponds to said received request for travel information,

wherein said step of automatically determining said phrase context, depends only on said request for travel information,

automatically searching a plurality of databases according to both said query and said context for a search result, without any interaction with a human agent, wherein said search result comprises each of:

logistical travel information relating to said travel destination; and

location-specific, interest-dependent, and dynamic information corresponding to local events held in the vicinity of said travel destination; and

returning said search result to the end user via a browser-based interface, wherein said plurality of search results are organized by both:

the city in which said local events occur; and

the relative distance that said region, city, and urban area is from said home location.

19. The method of claim 18 , further comprising:

providing a spell check service to an end user for assisting an end user in providing correct spelling of an intended word in said request for travel information.

20. The method of claim 19 further comprising:

suggesting alternate spellings of said word;

providing similarly spelled words or relevant phrases; and

settling ambiguity among said word with other words or phrases having similar parts of said word.

21. The method of claim 18 , further comprising:

providing lookup tables for determining matches to facilitate processing said request into said query.

22. The method of claim 18 further comprising:

analyzing a plurality of context determining categories; and

determining at least one context determining category.

23. The method of claim 18 , wherein said search result comprises the following travel categories:

destination guides;

canned keywords;

hot deals; and

lodging.

24. The method of claim 18 , wherein said location-specific, interest-dependent, and dynamic information further comprises any of:

hot deal; and

a fare watch.

25. The method of claim 18 further comprising:

providing said travel information to said end user in one web page.

26. The method of claim 25 , wherein said one web page comprises:

a more link for facilitating linking to more detailed information as an option.

27. The method of claim 26 , wherein said more detailed information comprises information reflecting and associated with one or more than one of said context determining categories.

28. The method of claim 18 , wherein said provided travel information comprises, a local escape category comprising any of:

a fare watch;

weekend e-fares;

hot deals;

links to other cities; and

maps.

29. The method of claim 18 , further comprising:

providing a multi-hierarchical schema for organizing geographical regions to facilitate determining relevant travel information, wherein content in said regions overlap.

30. The method of claim 29 , wherein geographical regions comprise urban regions.

31. The method of claim 30 , wherein said urban regions comprise content from other nearby and relevant cities associated with said home location.