Research and Monitoring Tool to Determine the Likelihood of the Public Finding Information Using a Keyword Search

• US 20080077577A1
• Filed: 09/21/2007
• Published: 03/27/2008
• Est. Priority Date: 09/27/2006
• Status: Abandoned Application

• Current Assignee: V-Fluence Interactive Public Relations, Inc.
• Original Assignee: V-Fluence Interactive Public Relations, Inc.
• Inventors: Schmidt, Robert, Byrne, Joseph, Wei, Jiyan, Helbling, Gerard
• Application Number:
  US11/859,452
• Publication Number:
  US 20080077577A1
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

A method and system of ranking information according to the likelihood of its being seen as result of a keyword search on any given issue.

Claims

1. A method of ranking information according to the likelihood of its being seen as result of a keyword search on any given issue, said method comprising the following steps or instructions:

developing a collection of search words related to the issue;

measuring the frequency with which any container will be included in search results thereby indicating their visibility; and

ranking each of the identified containers based on their visibility. (The measured frequency of access of the each of the identified web locations relative to the measured frequency of access of the other identified web locations);

whereby the identified web locations having a higher rank over identified web locations having a lower rank have a higher likelihood of being accessed as part of a keyword search related to the issue.

2. The method of claim 1 wherein the step of developing a collection of search terms related to the issue comprises:

developing a set of base terms (e.g., 25-50 terms) related to the issue;

searching a keyword discovery (KWD) database for search terms which are a function of the set of base terms, yielding a subset (e.g., 50 k) of the KWD database;

eliminating portions of the subset which are peripherally related to the issue to yield a streamlined subset (e.g., 5 k) of the KWD database;

applying rules to prioritize the streamlined subset to yield the collection of search words related to the issue; and

determining a degree of synonymy of a search term of the subset as compared to another search term of the subset and combining the frequency of access of synonymous search terms.

3. The method of claim 2 wherein analysis of portions of the subset comprises at least one of the following:

determining a degree of public interest of a search term of the subset;

determining a brand awareness of a search term of the subset;

determining issue conflation of a search term of the subset;

determining a slant of a search term of the subset.

4. The method of claim 1 wherein prioritizing comprises:

Determining information that is most likely to be seen by the public regarding the issue; and

characterizing the determined information that is most likely to be seen by the public regarding the issue.

5. The method of claim 4 wherein determining comprises at least one of:

determining preliminary container data;

evaluating visibility of the preliminary container data; and

defining an inventory of visible containers from the evaluated visibility.

6. The method of claim 4 wherein characterizing comprises at least one of:

determining a relevance of the detailed data;

determining a slant of the detailed data; and

determining issue conflation of the detailed data.