METHOD AND SYSTEM FOR SEARCHING AND RANKING ENTRIES STORED IN A DIRECTORY

• US 20090119250A1
• Filed: 04/13/2006
• Published: 05/07/2009
• Est. Priority Date: 04/13/2005
• Status: Abandoned Application

• Current Assignee: Call Genie, Inc. (UpSnap, Inc.)
• Original Assignee: Call Genie, Inc. (UpSnap, Inc.)
• Inventors: Reed, Kenneth Todd
• Application Number:
  US11/911,172
• Publication Number:
  US 20090119250A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04M 2201/40 using speech recognition speech recognition per se G10L15/00
• CPC Class Codes: H04M 2242/30 Determination of the location of a subscriber
• CPC Class Codes: H04M 3/4931 Directory assistance systems

Abstract

A method and system for searching and sorting or ranking entries from a directory. In one embodiment, the directory comprises a database of business listings and the directory is accessed by users through a telecommunication or voice network. A user utilizes voice commands or requests to specify a search for a business. The system conducts a search based on the request and ranks the located listings based on parameters provided by or associated with the user and/or the business listings. The parameters include proximity of the business to the location of the user, category of the business listing in the directory, or a weighting factor assigned to the business listing.

Claims

1. A method for searching entries in a directory coupled to a voice interface, said method comprising the steps of:

receiving a voice request from a user through said voice interface for searching the directory;

retrieving one or more listings associated with said voice request;

each of said listings including one or more indicators;

ranking said one or more listings, said ranking being based on one or more of the indicators associated with the listings; and

presenting said one or more ranked listings to the user over said voice interface.

2. The method as claimed in claim 1, further including the step of providing a location associated with the user making said voice request.

3. The method as claimed in claim 2, wherein said one or more listings includes a physical location for an entity associated with said listing and said step of ranking comprises ranking said one or more listings based on proximity of the location of said user to the physical location of said associated entity.

4. The method as claimed in claimed 3, wherein said indicators include a listing score, wherein said ranking is based on said listing scores when two or more of said listings have similar proximities.

5. A method for searching business listings stored in a database, said database being coupled to a speech recognition server and said speech recognition server being connected to a communication network, said method comprising the steps of:

receiving a voice request from a user through the communication network, said voice request being converted into a query by said speech recognition server;

retrieving one or more listings from the database based on said query;

determining a feature indicator for each of said retrieved listings;

sorting said retrieved listings based on said feature indicator;

converting said sorted listings into voice signals for said user.

6. The method as claimed in claim 5, further including the step of grouping said retrieved listings according to said feature indicators, and wherein said step of sorting comprises sorting the listings in each of said groups.

7. The method as claimed in claim 5, wherein said feature indicators comprise one or more feature vectors, and each of said feature vectors including one or more parameters related to said listing.

8. The method as claimed in claim 7, further including the step of grouping said retrieved listings according to said feature vectors, and wherein each of said feature vectors comprises one or more features associated with said respective listing.

9. The method as claimed in claim 8, wherein said step of sorting comprises ordering said feature vectors, and wherein said features associated with said respective listings includes a score, and said step of sorting being responsive to said score for ordering two or more of said listings wherein said listings have the same or similar feature vectors.

10. The method as claimed in claim 8, further including the step of determining a proximity for one or more of said listings, said proximity being based on a location of an entity associated with said listing and a physical location associated with said user.

11. The method as claimed in claim 10, wherein said step of sorting comprises ordering said feature vectors, and wherein said features associated with said respective listings includes a score, and said step of sorting being responsive to said score for ordering two or more of said listings wherein the proximity for two or more of said listings falls within a predetermined range.

12. A system for searching business listings stored in a directory, said directory being coupled to a communication network, said system comprising:

a voice node for coupling said directory to said communication network, said voice node comprising a speech recognizer and an application server;

said speech recognizer including a component for receiving a voice request from a user from said communication network and converting said voice request into a query;

said application server including a component for retrieving one or more listings from the directory based on said query;

said application server including a component for sorting said retrieved listings based on a feature indicator, and at least some of said listings including respective feature indicators;

said speech recognizer including a component for converting one or more of said sorted listings into a voice signal for said user.

13. The system as claimed in claim 12, wherein said feature indicator comprises a feature vector, and each of said feature vectors including one or more parameters related to said associated listing.

14. The system as claimed in claim 13, wherein said application server includes a component for grouping said retrieved listings according to said feature vectors.

15. The system as claimed in claim 14, wherein said feature vectors include a score for said associated listing, and said component for sorting being responsive to said score for ordering two or more of said listings when said listings have similar feature vectors.

16. The system as claimed in claim 14, further including a component for determining a proximity, said proximity being based on a relative distance between a location associated with said user and a location for an entity associated with said listing.

17. The system as claimed in claim 16, further including a component for converting said proximity into an effective distance, and said component for sorting being responsive to said effective distance for ranking two or more of said listings.

18. The system as claimed in claim 17, wherein said feature vectors include a score for said associated listing, said component for sorting being responsive to said score for ranking two or more of said listings when said respective listings have effective distances within a predefined range.

19. The system as claimed in claim 18, wherein said score is based on an expenditure by the entity for placing a listing in said directory.

20. A computer program product, comprising:

a medium having computer readable code embodied therein for execution by a computer for searching listings in a directory;

said computer readable code including,

code means for receiving a voice request from a user, and code means for converting said voice request into a query;

code means for retrieving one or more listings from the directory based on said query;

code means for determining a feature indicator for each of said retrieved listings;

code means for sorting said retrieved listings based on said feature indicator;

code means for converting said sorted listings into voice signals for said user.

21. The computer program product as claimed in claim 20, further including code means for grouping said retrieved listings according to said feature indicators, and wherein said means for sorting sorts the listings in each of said groups.