Methods and systems for personalized network searching

• US 7,523,096 B2
• Filed: 12/03/2003
• Issued: 04/21/2009
• Est. Priority Date: 12/03/2003
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Lawrence, Stephen R., Badros, Gregory Joseph
• Primary Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US10/726,410
• Publication Number:
  US 20050131866A1
• Time in Patent Office: 1,966 Days
• Field of Search: 707 2- 7, 707/10, 707/100, 707/102, 707/104.1, 707103 R-103 Z, 705/10
• US Class Current: N/A
• CPC Class Codes: A61N 1/36003 of motor muscles, e.g. for walking assistance
• CPC Class Codes: A61N 1/36017 with leads or electrodes penetrating the skin
• CPC Class Codes: A61N 1/36021 for treatment of pain
• CPC Class Codes: A61N 1/36057 adapted for stimulating afferent nerves
• CPC Class Codes: A61N 1/36071 Pain
• 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
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

Systems and methods for personalized network searching are described. A search engine implements a method comprising receiving a search query, determining a personalized result by searching a personalized search object using the search query, determining a general result by searching a general search object using the search query, and providing a search result for the search query based at least in part on the personalized result and the general result. The search engine may utilize ratings or annotations associated with the previously identified uniform resource locator to locate and sort results.

Claims

1. A computer-implemented method, the method comprising:

receiving a search query from a user;

receiving a request from the user to personalize a search result;

responsive to the search query and the request to personalize the search result,

generating a personalized search result by searching a personalized search object;

responsive to the search query, generating a general search result by searching a general search object;

providing the personalized search result and the general search result for display;

selecting an advertisement based at least in part upon the personalized search object; and

providing the advertisement for display.

2. The method of claim 1, wherein the personalized search object comprises an article associated with a bookmark.

3. The method of claim 2, wherein an index associated with the bookmark is stored on a server remote from a client with which the bookmark is associated.

4. The method of claim 2, wherein an index associated with the bookmark is stored on a client with which the bookmark is associated wherein searching of the personalized search object is performed by a client-side agent.

5. The method of claim 1, wherein the general search object comprises an index of articles.

6. The method of claim 5, wherein the index comprises an index of articles associated with a global computer network.

7. The method of claim 1, wherein the general search object comprises a plurality of global indices.

8. The method of claim 1, wherein the personalized search object comprises a plurality of bookmarks.

9. The method of claim 1, wherein the personalized search object comprises an annotation.

10. The method of claim 1, wherein the personalized search object comprises a rating.

11. The method of claim 1, further comprising identifying a user cluster based at least in part on the personalized search object and providing to the user a suggestion of another user with which to network based on the user cluster.

12. The method of claim 1, further comprising identifying the personalized search object based at least in part on an implicit measure of the user'"'"'s interest.

13. The method of claim 12, wherein the implicit measure of the user'"'"'s interest comprises a history of user accesses.

14. The method of claim 12, wherein the history of user accesses comprises at least one of:

a period of linger time, a quantity of repeat visits, and a quantity of click-throughs.

15. A computer storage medium encoded with a computer program, the computer program comprising instructions that when executed cause a computer to perform operations comprising:

receiving a search query from a user;

receiving a request from the user to personalize the search result;

responsive to the search query and the request to personalize the search result,

generating a personalized result by searching a personalized search object;

responsive to the search query, generating a general result by searching a general search object;

providing the personalized search result and the general search result for display; and

providing an advertisement for display on a browser based at least in part on one of the personalized search result and the general search result.

16. The computer storage medium of claim 15, wherein the instructions when executed cause the computer to perform operations further comprising identifying a cluster of users based at least in part on the personalized search object.

17. The computer storage medium of claim 15, wherein the instructions when executed cause the computer to perform operations further comprising identifying the personalized search object based at least in part on an implicit measure of the user'"'"'s interest.