CONTENT DELIVERY SYSTEM WITH NATURAL LANGUAGE MECHANISM AND METHOD OF OPERATION THEREOF

• US 20140195155A1
• Filed: 05/14/2013
• Published: 07/10/2014
• Est. Priority Date: 01/07/2013
• Status: Active Grant

• Current Assignee: TeleNav Incorporated
• Original Assignee: TeleNav Incorporated
• Inventors: Aist, Gregory Stewart, Husain, Aliasgar Mumtaz, Sebastian, Jose
• Granted Patent: US 9,097,548 B2
• Time in Patent Office: Days
• US Class Current: 701/533
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3641 Personalized guidance, e.g. limited guidance on previously travelled routes

Abstract

A method of operation of a content delivery system includes: determining a context for identifying a device within a geographic region; identifying a feature of a candidate route; generating a route description based on the feature with a control unit; and generating a prompt based on the context for adding, removing, or a combination thereof the feature from the route description for delivering on the device.

Claims

1. A method of operation of a content delivery system comprising:

determining a context for identifying a device within a geographic region;

identifying a feature of a candidate route;

generating a route description based on the feature with a control unit; and

generating a prompt based on the context for adding, removing, or a combination thereof the feature from the route description for delivering on the device.

2. The method as claimed in claim 1 wherein identifying the feature includes identifying a key feature based on comparing a road segment to another instance of the road segment within the candidate route.

3. The method as claimed in claim 1 wherein identifying the feature includes identifying a contrastive feature based on comparing the candidate route to another instance of the candidate route.

4. The method as claimed in claim 1 wherein generating the route description includes generating a core description based on an expression format with a total usage count greater than another instance of the expression format.

5. The method as claimed in claim 1 wherein generating the route description includes generating an expansion based on the context for customizing the route description for the geographic region.

6. A method of operation of a content delivery system comprising:

determining a context for identifying a device within a geographic region;

identifying a feature of a candidate route;

generating a route description based on the feature with a control unit;

generating a travel route based on the candidate route; and

generating a prompt based on the context for adding, removing, or a combination thereof the feature from the route description for delivering on the device.

7. The method as claimed in claim 6 wherein generating the route description includes generating a core description based the context for a user'"'"'s travel direction for resolving a double naming of a road segment.

8. The method as claimed in claim 6 wherein generating the route description includes generating an expansion based on a travel history for customizing the route description based on a travel count for the geographic region.

9. The method as claimed in claim 6 further comprising designating the candidate route as a primary route or a non-primary route based on a travel history on the candidate route.

10. The method as claimed in claim 6 further comprising:

receiving a command input; and

wherein;

generating the travel route includes generating the travel route based on parsing the feature from the command input.

11. The method as claimed in claim 6 wherein generating the route description includes generating an expansion based on social information for customizing the route name for the candidate route.

12. A content delivery system comprising:

a context module for determining a context for identifying a device within a geographic region;

a feature extraction module, coupled to the context module, for identifying a feature of a candidate route;

a predictive module, coupled to the feature extraction module, for generating a route description based on the feature with a control unit; and

a prompt module, coupled to the predictive module, for generating a prompt based on the context for adding, removing, or a combination thereof the feature from the route description for delivering on the device.

13. The system as claimed in claim 12 wherein the feature extraction module includes a key module for identifying a key feature based on comparing a road segment to another instance of the road segment within the candidate route.

14. The system as claimed in claim 12 wherein the feature extraction module includes a contrastive module for identifying a contrastive feature based on comparing the candidate route to another instance of the candidate route.

15. The system as claimed in claim 12 wherein the predictive module includes a core module for generating a core description based on an expression format with a total usage count greater than another instance of the expression format.

16. The system as claimed in claim 12 wherein the predictive module includes an expansion module for generating an expansion based on the context for customizing the route description for the geographic region.

17. The system as claimed in claim 12 further comprising a route generator module, coupled to the predictive module, for generating a travel route based on the candidate route.

18. The system as claimed in claim 17 wherein the predictive module includes a core module for generating a core description based the context for a user'"'"'s travel direction for resolving a double naming of a road segment.

19. The system as claimed in claim 17 wherein the predictive module includes an expansion module for generating an expansion based on a travel history for customizing the route description based on a travel count for the geographic region.

20. The system as claimed in claim 17 further comprising a route designator module, coupled to the predictive module, for designating the candidate route as a primary route or a non-primary route based on a travel history on the candidate route.

21. The system as claimed in claim 17 further comprising:

an utterance module, coupled to the feature extraction module, for receiving a command input; and

wherein;

the route generator module is for generating the travel route based on parsing the feature from the command input.

22. The system as claimed in claim 17 wherein the predictive module includes an expansion module for generating an expansion based on social information for customizing the route name for the candidate route.