SOCIAL NETWORK-BASED INTERNET SEARCH ENGINE

• US 20060235873A1
• Filed: 06/21/2006
• Published: 10/19/2006
• Est. Priority Date: 10/22/2003
• Status: Abandoned Application

• Current Assignee: Jookster Networks, Inc.
• Original Assignee: Jookster Networks, Inc.
• Inventors: Thomas, Kapenda J.
• Application Number:
  US11/425,635
• Publication Number:
  US 20060235873A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

Filtering Internet content includes receiving a search query message comprising a search query to an Internet search engine. Data is received from the Internet search engine, responsive to the search query message. Filtering of the data produces a data subset. The filter selects data for inclusion in the data subset based upon occurrence of the data in a database. The database includes content selected for inclusion by designated users. The data subset is displayed in a browser.

Claims

1. A method for building an indexed database comprising:

storing an identity of a first user on a server;

storing an association between the identity of the first user and an identity of a second user on the server; and

storing an address in association with the identity of the first user, the address associated with information of interest to the first user stored on a first network.

2. The method of claim 1, wherein the information of interest was previously identified by receiving at the server a signal from the first user indicating the information stored on the first network is of interest to the first user.

3. The method of claim 1, wherein storing an identity includes importing the identity from another database and storing an association includes importing the association from another database.

4. The method of claim 2, wherein receiving the signal includes receiving the signal at the server from a client computer in communication with the server over a second network.

5. The method of claim 4, wherein the second network is included in the first network.

6. The method of claim 4, wherein the client computer generates the signal based upon bookmark data stored on the client computer.

7. The method of claim 4, wherein the client computer generates the signal based upon the first user recommending the information to the second user using a third electronic network.

8. The method of claim 4, wherein the client computer includes a user interface configured to display the information, the user interface being further configured to generate the signal in response to only a single action being performed.

9. The method of claim 8, wherein the single action is clicking a mouse button when a cursor is positioned over a predefined area of the displayed information.

10. The method of claim 8, wherein the single action is a sound generated by the user.

11. The method of claim 8, wherein the single action is selection using a television remote control.

12. The method of claim 8, wherein the single action is depressing a key on a key pad.

13. The method of claim 8, wherein the single action is selecting using a pointing device.

14. The method of claim 8, wherein the single action is selection of a displayed indication.

15. The method of claim 2, further comprising:

parsing the information stored at the address according to the occurrence of keywords within the information to generate a keyword map; and

storing the keyword map in association with the address.

16. The method of claim 15, wherein the keyword map includes metadata.

17. The method of claim 4, wherein the at least one association with the second user is generated based upon contact information stored on the client computer.

18. The method of claim 2, further comprising:

receiving a search request from the first user, the search request including a radius and at least one keyword from the first user;

ascertaining a set of users based upon the radius, the users being selected according to a number of spanned associations corresponding to the radius; and

retrieving information stored in association with each user in the set of users.

19. The method of claim 18, further comprising:

filtering the retrieved information according to the at least one keyword.

20. The method of claim 2, further comprising:

receiving a search request from the first user, the search request including a radius and at least one keyword from the first user; and

retrieving information stored in association with the at least one keyword.

21. The method of claim 20, further comprising:

ascertaining a set of users based upon the radius, the users being selected according to a number of spanned associations corresponding to the radius; and

filtering the retrieved information according to the ascertained set of users.