WEB BROWSER PAGE RATING SYSTEM

• US 20080319955A1
• Filed: 09/02/2008
• Published: 12/25/2008
• Est. Priority Date: 10/04/2000
• Status: Abandoned Application

• Current Assignee: John B. Moetteli
• Original Assignee: John B. Moetteli
• Inventors: Douglass, John, Moetteli, John, Martyn, Nathan
• Application Number:
  US12/202,442
• Publication Number:
  US 20080319955A1
• Time in Patent Office: Days
• US Class Current: 707/3
• 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, wherein the method includes the steps of:

(a) scanning a downloaded web page for keywords which match keywords in a previously saved library of project-associated keywords; and

(b) displaying found keywords in a list inside a dialog box that allows the user to select a keyword in the list to locate the auto-detected keywords in the downloaded document.

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

6. The method of claim 1, wherein the existing project keyword library is editable by adding additional terms or deleting existing terms, during such actions as bookmarking.

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

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

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

12. The method of claim 1, wherein locating means is provided which, by clicking on a detected keyword, the downloaded document is automatically scrolled to display that keyword in highlighted form.

2. The method of claim one, including the further step of measuring relevancy of the downloaded document visited in a project-based network research session according to the keywords detected in the document, such detected keywords determining the downloaded document'"'"'s relevancy to a particular project, theme, or session, the measured relevancy being saved in association with the downloaded document, and measuring the

3. The method of claim 2, wherein the relevancy is measured using a sub-method selected from a croup of sub-methods consisting of (1) scanning for keywords present in the downloaded document which match keywords stored in a keyword library previously saved in association with the project, theme, or session, followed by the application of a relevancy-measurement style or formula to the keywords of the keyword library found in the downloaded document and (2) manual setting by the user of relevancy of the downloaded document to the project, theme, or session, based on a visual review by the user of the contents of the downloaded document.

5. The method of claim 3 wherein the relevancy-measurement style or formula is selected from a group of styles or formulas consisting of (a) those used by search engines;

(b) a custom style;

(c) simple keyword number counts optionally applying statistical weighting factors;

(d) styles or formulas evaluating existing meta-data;

(c) styles or formulas evaluating frequency of occurrence of specific keywords;

(f) styles or formulas evaluating matches;

(g) styles or formulas evaluating proximity; and

(h) styles or formulas evaluating density.

7. The method of claim 3 wherein the method includes relevancy specifying means by which a user specifics relevancy according to her own rating of relevancy of an URL to a project when bookmarking or revisiting a bookmarked page and further providing means for ordering results on a display according to such relevancy.

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