Preemptive downloading and highlighting of web pages with terms indirectly associated with user interest keywords

• US 20030023629A1
• Filed: 07/26/2001
• Published: 01/30/2003
• Est. Priority Date: 07/26/2001
• Status: Active Grant

• Current Assignee: LinkedIn Corporation (Microsoft Corporation)
• Original Assignee: International Business Machines Corporation
• Inventors: Hamilton, Rick Allen II, Lipton, Steven Jay
• Granted Patent: US 7,139,972 B2
• Time in Patent Office: Days
• US Class Current: 715/513
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access

Abstract

The present invention provides a method, apparatus, and computer implemented instructions for preemptive downloading and highlighting of web pages with terms indirectly associated with user interest keywords. Associative terms are identified and weighted. The weighted associative terms are used to rate Web pages. The Web pages, which have a rating higher than the specified threshold, are selected and presented to the user. Also, Web pages that contain user interest keywords or subject matter keywords from the currently displayed Web page are selected and presented to the user.

Claims

1. A method in a data processing system for selecting a Web page, the method comprising:

identifying associative terms;

weighting the associative terms in response to an identification of the associative terms to form a set of weighted associative terms;

processing a plurality of Web pages using the set of weighted associative terms to generate a plurality of cumulative ratings in which each Web page within the plurality of Web pages has a cumulative rating; and

selecting the Web page as a Web page having a selected cumulative rating greater than a threshold.

2. The method of claim 1 further comprising:

presenting the Web page.

3. The method of claim 1 further comprising:

selecting another Web page from the plurality of Web pages if the another Web page has a cumulative rating greater than the threshold.

4. The method of claim 1, wherein the method is implemented in a browser program.

5. The method of claim 1, wherein the associative terms are identified using terms stored in a data structure.

6. The method of claim 1, wherein the data structure is a database.

7. The method of claim 1, the associative terms are identified from Web page selected by a user.

8. A method in a data processing system for processing documents, the method comprising:

assigning weights to a set of terms, wherein the set of terms is associated with a particular term of interest and wherein each term within the set of terms is associated with a weight to form a weighted set of terms; and

selecting a document from a group of documents using the weighted set of terms.

9. The method of claim 8 further comprising:

presenting the document.

10. The method of claim 8, wherein the selecting step comprises:

generating a cumulative weight for each document within the group of documents;

comparing the cumulative weight for each document with a threshold; and

selecting the document as a selected document having a weight cumulative weight greater than the threshold.

11. A data processing system comprising:

a bus system;

a communications unit connected to the bus system;

a memory connected to the bus system, wherein the memory includes a set of instructions; and

a processing unit connected to the bus system, wherein the processing unit executes the set of instructions to identify associative terms;

weigh the associative terms in response to an identification of the associative terms to form a set of weighted associative terms;

processing a plurality of Web pages using the set of weighted associative terms to generate a plurality of cumulative ratings in which each Web page within the plurality of Web pages has a cumulative rating; and

select the Web page as a Web page having a selected cumulative rating greater than a threshold.

12. A data processing system comprising:

a bus system;

a communications unit connected to the bus system;

a memory connected to the bus system, wherein the memory includes a set of instructions; and

a processing unit connected to the bus system, wherein the processing unit executes the set of instructions to assign weights to a set of terms, wherein the set of terms is associated with a particular term of interest and wherein each term within the set of terms is associated with a weight to form a weighted set of terms; and

select a document from a group of documents using the weighted set of terms.

13. A data processing system for selecting a Web page, the data processing system comprising:

identifying means identifying associative terms;

weighting means weighting the associative terms in response to an identification of the associative terms to form a set of weighted associative terms;

processing means processing a plurality of Web pages using the set of weighted associative terms to generate a plurality of cumulative ratings in which each Web page within the plurality of Web pages has a cumulative rating; and

selecting means selecting the Web page as a Web page having a selected cumulative rating greater than a threshold.

14. The data processing system of claim 13 further comprising:

presenting means for presenting the Web page.

15. The data processing system of claim 13, wherein the selecting means is a first selecting means and further comprising:

second selecting means for selecting another Web page from the plurality of Web pages if the another Web page has a cumulative rating greater than the threshold.

16. The data processing system of claim 13, wherein the identifying means, weighting means, processing means, and selecting means are located in a browser program.

17. The data processing system of claim 13, wherein the associative terms are identified using terms stored in a data structure.

18. The data processing system of claim 13, wherein the data structure is a database.

19. The data processing system of claim 13, the associative terms are identified from Web page selected by a user.

20. A data processing system for processing documents, the data processing system comprising:

assigning means assigning weights to a set of terms, wherein the set of terms is associated with a particular term of interest and wherein each term within the set of terms is associated with a weight to form a weighted set of terms; and

selecting means selecting a document from a group of documents using the weighted set of terms.

21. The data processing system of claim 20 further comprising:

presenting means for presenting the document.

22. The data processing system of claim 20, wherein the selecting means comprises:

generating means for generating a cumulative weight for each document within the group of documents;

comparing means for comparing the cumulative weight for each document with a threshold; and

means for selecting the document as a selected document having a weight cumulative weight greater than the threshold.

23. A computer program product in a computer readable medium for selecting a Web page, the computer program product comprising:

first instructions for identifying associative terms;

second instructions for weighting the associative terms in response to an identification of the associative terms to form a set of weighted associative terms;

third instructions for processing a plurality of Web pages using the set of weighted associative terms to generate a plurality of cumulative ratings in which each Web page within the plurality of Web pages has a cumulative rating; and

fourth instructions for selecting the Web page as a Web page having a selected cumulative rating greater than a threshold.

24. A computer program product in a computer readable medium for processing documents, the computer program product comprising:

first instructions for assigning weights to a set of terms, wherein the set of terms is associated with a particular term of interest and wherein each term within the set of terms is associated with a weight to form a weighted set of terms; and

second instructions for selecting a document from a group of documents using the weighted set of terms.