METHOD AND APPARATUS FOR MAPPING UNKNOWN INFORMATION IN REAL OR VIRTUAL WORLDS

• US 20090327520A1
• Filed: 06/26/2008
• Published: 12/31/2009
• Est. Priority Date: 06/26/2008
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: Lee, Felix, Kalaboukis, Chris
• Application Number:
  US12/146,954
• Publication Number:
  US 20090327520A1
• Time in Patent Office: Days
• US Class Current: 709/240
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A method and apparatus are given for providing a suggested path on the Internet to a topic of interest for a user. In one example, the method includes receiving the topic of interest, receiving a map of the Internet, receiving a map of information known to the user, calculating a map of information unknown to the user based on the map of the Internet and the map of information known to the user, and calculating a path to the topic of interest based on at least the map of information unknown to the user.

Claims

1. A method of providing a suggested path on an Internet to a topic of interest for a user, the method comprising:

receiving the topic of interest;

receiving a map of the Internet;

receiving a map of information known to the user;

calculating a map of information unknown to the user based on the map of the Internet and the map of information known to the user; and

calculating a path to the topic of interest based on at least the map of information unknown to the user.

2. The method of claim 1, wherein calculating the map of information unknown to the user comprises subtracting the map of known information from the map of the Internet.

3. The method of claim 1, wherein receiving a map of information known to the user comprises building the map of information known to the user by mining past history of the user, where past history of the user includes information gather over time from at least one of:

web browsing history;

email;

instant messages;

physical locations; and

any other appropriate sources.

4. The method of claim 1, wherein the calculating the path to the topic of interest is further based on at least one of:

paths other users took to the topic of interest;

pre-built curricula for the topic of interest; and

logically piecing together a path to the topic of interest based on the map of the unknown and the map of the known.

5. The method of claim 1, wherein calculating the path to the topic of interest comprises providing a rough idea of how far away the user is from the topic of interest and what should be next steps of the user.

6. A method of providing information about where a user may desire to explore next on an Internet, the method comprising:

receiving a known topic and an acceptable degree of strangeness;

receiving a map of the Internet;

receiving a map of information known to the user;

calculating a map of information unknown to the user based on the map of the Internet and the map of information known to the user; and

calculating a suggested next topic based on at least the acceptable degree of strangeness, the map of information unknown to the user and the known topic.

7. The method of claim 6, wherein calculating the map of information unknown to the user comprises subtracting the map of known information from the map of the Internet.

8. The method of claim 6, wherein receiving a map of information known to the user comprises building the map of information known to the user by mining past history of the user, wherein the past history of the user includes information gathered over time from at least one of:

web browsing history;

email;

instant messages;

physical locations; and

any other appropriate sources.

9. The method of claim 6, wherein calculating a suggested next topic is further based on a graph of information unknown to friends of the user.

10. The method of claim 6, wherein calculating a suggested next topic comprises highlighting unknown parts of a published article on the Internet.

11. An apparatus for providing a suggested path on an Internet to a topic of interest for a user, the apparatus comprising:

a query device configured to receive the topic of interest;

a map device configured to receive a map of the Internet, to receive a map of information known to the user, and to calculate a map of information unknown to the user based on the map of the Internet and the map of information known to the user; and

a pathfinder device configured to calculate a path to the topic of interest based on at least the map of information unknown to the user.

12. The apparatus of claim 11, wherein the map device is further configured to calculate the map of information unknown to the user by subtracting the map of known information from the map of the Internet.

13. The apparatus of claim 11, wherein the map device is further configured to build the map of information known to the user by mining past history of the user, where past history of the user includes information gather over time from at least one of:

web browsing history;

email;

instant messages;

physical locations; and

any other appropriate sources.

14. The apparatus of claim 11, wherein the pathfinder device is further configured to calculate the path to the topic of interest based further on at least one of:

paths other users took to the topic of interest;

pre-built curricula for the topic of interest; and

logically piecing together a path to the topic of interest based on the map of the unknown and the map of the known.

15. The apparatus of claim 11, wherein the pathfinder device is further configured to provide a rough idea of how far away the user is from the topic of interest and what should be next steps of the user.

16. An apparatus for providing information about where a user may desire to explore next on an Internet, the apparatus comprising:

a query device configured to receive a known topic and an acceptable degree of strangeness;

a map device configured to receive a map of the Internet, to receive a map of information known to the user, and to calculate a map of information unknown to the user based on the map of the Internet and the map of information known to the user; and

a topic finder device configured to calculate a suggested next topic based on at least the acceptable degree of strangeness, the map of information unknown to the user and the known topic.

17. The apparatus of claim 16, wherein the map device is further configured to calculate the map of information unknown to the user by subtracting the map of known information from the map of the Internet.

18. The apparatus of claim 16, wherein the map device is further configured to build the map of information known to the user by mining past history of the user, wherein the past history of the user includes information gathered over time from at least one of:

web browsing history;

email;

instant messages;

physical locations; and

any other appropriate sources.

19. The apparatus of claim 16, wherein the topic finder device is further configured to calculate a suggested next topic based further on a graph of information unknown to friends of the user.

20. The apparatus of claim 16, wherein the topic finder device is further configured to highlight unknown parts of a published article on the Internet.

21. A computer readable medium carrying one or more instructions for providing a suggested path on an Internet to a topic of interest for a user, wherein the one or more instructions, when executed by one or more processors, cause the one or more processors to perform the steps of:

receiving the topic of interest;

receiving a map of the Internet;

receiving a map of information known to the user;

calculating a map of information unknown to the user based on the map of the Internet and the map of information known to the user; and

calculating a path to the topic of interest based on at least the map of information unknown to the user.