NATURAL LOCAL SEARCH ENGINE

• US 20090094212A1
• Filed: 10/07/2008
• Published: 04/09/2009
• Est. Priority Date: 10/09/2007
• Status: Abandoned Application

• Current Assignee: Jon Scott Zaccagnino
• Original Assignee: Jon Scott Zaccagnino
• Inventors: Zaccagnino, Jon Scott
• Application Number:
  US12/246,593
• Publication Number:
  US 20090094212A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

A method and system for searching for local information on a self-contained network of computers using natural words (keywords) that are native or familiar to a geographic location or searcher. The method and system do not employ prior or predetermined personal information about a searcher to perform the search. Rather, they utilize only the location, which is entered with the search. Accordingly, more relevant search results are returned based upon the predefined categorization of the local information and its relationship with a searcher'"'"'s natural words and the natural words'"'"' relationship to the geographic location, all of which are predefined by authors of the local information who are uniquely familiar with such things as local slang, trade, profession and industry terms, local terms, acronyms, colloquialisms, and the like.

Claims

1. A method for searching local geographic information on a Web-based search engine comprising the steps of:

(a) providing a computer accessible database consisting of local geographic information populated by at least one author familiar with words that are native or familiar to at least one geographic location;

(b) querying only said database with at least one word that is native or familiar to at least one geographic location; and

(c) providing search results in response to step (b).

2. The method of claim 1 wherein step (b) further comprises querying said database with a geographic location in addition to said at least one word that is native or familiar to the at least one geographic location.

3. The method of claim 1 wherein said local geographic information is stored on said database and is tagged with information type data upon its entry into said database.

4. The method of claim 1 wherein said local geographic information may be further categorized using category strings.

5. The method of claim 4 wherein said category strings are defined by at least one of manual and automatic input associated with said at least one word.

6. The method of claim 5 wherein said category strings are prioritized by category strings containing said at least one word associated with a geographic location followed by category strings containing said at least one word not associated with a geographic location.

7. A system for searching local geographic information on a Web-based search engine comprising:

(a) a computer accessible database consisting of local geographic information populated by at least one author familiar with at least one word that is native or familiar to at least one geographic location; and

(b) means for accessing said database.

8. The system of claim 7 wherein said local geographic information is stored on said database and is tagged with information type data upon its entry into said database.

9. The system of claim 7 wherein said local geographic information may be further categorized using category strings.

10. The system of claim 9 wherein said category strings are defined by at least one of manual and automatic input associated with at least one word used to query said database.

11. The system of claim 10 wherein said category strings are prioritized by category strings containing said at least one word associated with a geographic location followed by category strings containing said at least one word not associated with a geographic location.

12. The system of claim 10 wherein said category strings are prioritized by weighting relative to the frequency of which category strings are selected by users when searching said database.

13. The system of claim 12 wherein said weighting comprises scoring selected category strings positively and unselected category strings negatively relevant to a geographic location.

14. The system of claim 7 wherein the system does not employ information regarding a searcher prior to conducting a search of said database.

15. The system of claim 9 wherein the category strings are comprised of a main category and a sub-category.

16. The system of claim 15 wherein the category strings further comprise a specialty category.

17. The system of claim 7 wherein locations may be determined by zip code, county, state, region or other similar natural or man-made geographic based parameters.