Method and system for the objective quantification of fame

Abstract

A system and method for establishing fame-related weighted values associated with persons, places, or things through the automated analysis and collection of quantitative and contextual fame-related data, and for presenting such objective measurement to one or more users of such system.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

The above and other features, aspects, and advantages of the present invention are considered in more detail, in relation to the following description of embodiments thereof shown in the accompanying drawings, in which:

FIG. 1 is a block diagram showing database generation according to a first embodiment of the present invention; and

FIG. 2 is a block diagram illustrating inputs to a quantification engine according to a first embodiment of the present invention.

Claims

1. A method of quantifying measurement of fame of a celebrity, comprising the steps of: providing a relational database for holding information about said celebrity wherein such information contains data selected from the group consisting of: name;gender; andage;creating a multidimensional vector representing quantifiable measures of fame wherein a value for each dimension of said vector provides input to a quantification engine;normalizing the value of the dimensions for said celebrity; andestablishing an objective fame weight based on said normalized value.

2. The method of claim 1, wherein said method is performed for a plurality of celebrities.

3. The method of claim 2, further comprises the steps of: presenting said information for viewing by a user, wherein each celebrity is listed in order of fame weight.

4. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a record of achievement dimension, wherein said record of achievement dimension comprises a weighted value for domain specific achievement categories.

5. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a dissemination dimension, wherein said dissemination dimension comprises a weighted value for similarity between two or more related stories concerning said celebrity.

6. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a supporting literature dimension, wherein said supporting literature dimension comprises a weighted value based on lexicographical information concerning said celebrity.

7. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a search term frequency dimension, wherein said search term frequency dimension comprises a weighted value based on placement of said celebrity's name on a list of frequently searched words and phrases.

8. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a cross-reference weight dimension, wherein said cross-reference weight dimension comprises a weighted value based on association of said celebrity with at least one other celebrity.

9. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a market data dimension, wherein said market data dimension comprises a weighted value based on said celebrity's salary, endorsements, ticket sales, and the like.

10. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a community data dimension, wherein said community data dimension comprises a weighted value based on user input.

11. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a real-time buzz dimension, wherein said real-time buzz dimension comprises a weighted value based on timelines of information about said celebrity.

12. The method of claim 1, wherein the step of creating a multidimensional vector further comprises the steps of: establishing a prediction of future fame dimension, wherein said prediction of future fame dimension comprises a weighted value based on linear regression analysis of a plurality of fame indicators.

13. The method of claim 1, wherein said step of normalizing further comprises the steps of: determining the square-root of the sum of the squares of the values of each said dimension.