Web browser page rating system

• US 20020040311A1
• Filed: 10/04/2001
• Published: 04/04/2002
• Est. Priority Date: 10/04/2000
• Status: Abandoned Application

• Current Assignee: Missiontrek Ltd., Co.
• Original Assignee: Missiontrek Ltd., Co.
• Inventors: Douglass, John, Moetteli, John, Martyn, Nathan
• Application Number:
  US09/970,812
• Publication Number:
  US 20020040311A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0629 for generating comparisons
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A computerized web page rating method encoded on a computer-readable medium is provided. The method operates client-side in network browser software, rating the relevancy of web pages visited in a project-based browsing network research session. The ratings of web pages are calculated using a relevancy algorithm selected from a group of algorithms consisting of (1) the application of a rating style or formula to user-defined keywords previously saved in association with a project and (2) manual rating based on visual review of the contents of the web page.

Claims

1. A computerized method encoded on a computer-readable medium, the method operating client-side in network browser software, the method rating the relevancy of a downloaded document visited in a project-based network research session, the relevancy ratings determined being saved in association with the downloaded document, wherein the relevancy ratings are determined using a relevancy method selected from a group of methods consisting of (1) scanning for keywords present in the viewed downloaded document which match keywords stored in a project-based keyword library followed by the application of a rating style or formula to user-defined keywords of a keyword library previously saved in association with a project and (2) manual rating based on a visual review of the contents of the downloaded document.

2. The method of claim 1 wherein detected keywords found in the downloaded document are automatically highlighted or italicized.

3. The method of claim 1 wherein detected keywords are used to rate each downloaded document in real-time.

4. The method of claim 1 wherein the rating style or formula is selected from a group of styles or formulas consisting of (a) those used by actual search engines Alta Vista, Excite, Hotbot, Infoseek and Lycos;

(b) a custom rating style;

(c) simple keyword number count ratings optionally apply statistical weighting factors;

(d) meta-data, (e) frequency;

(f) matches;

(g) proximity;

(h) density; and

(i) Autorank.

5. The method of claim 1, wherein the users can edit the existing project, theme, or session keyword library by adding additional terms or deleting existing terms, during such actions as bookmarking.

6. The method of claim 1 wherein the method includes relevancy specifying means which a user specified according to his own rating of relevancy of an URL to a project when bookmarking or revisiting a bookmarked page.

7. The method of claim 6 wherein the means is a slide bar.

8. The method of claim 1 wherein the method includes means for viewing the auto-detected keywords in a document.

9. The method of claim 8, wherein the means is selected from a group of means consisting of (a) a caption displaying all matches found and frequencies, (b) a custom find dialog and (c) a navigation history and bookmark list in which auto-detected words and ratings are stored for each URL visited.

10. The method of claim 1 wherein a custom find dialog is provided which allows the user to locate auto-detected or user input keywords in the downloaded document.

11. The method of claim 1, wherein display means is provided for displaying a distribution of keywords within each downloaded page in graphical form.

12. The method of claim 11, wherein locating means is provided which, by clicking on a detected keyword, the web page is automatically scrolled to display that keyword in highlighted form.