Method for influencing market decisions of people

• US 20050203948A1
• Filed: 03/15/2004
• Published: 09/15/2005
• Est. Priority Date: 03/15/2004
• Status: Abandoned Application

• Current Assignee: Josep Lluis De La Rosa
• Original Assignee: Josep Lluis De La Rosa
• Inventors: de la Rosa, Josep Lluis
• Application Number:
  US10/800,812
• Publication Number:
  US 20050203948A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method for influencing people'"'"'s decisions in the market, the method comprising the steps of:

• • creating an universe of N attributes V_i=[v₁, v₂, . . . , V_N], characteristics or values to be exposed to a person j;
  • showing the attributes v_i to the person j and calculating the importance, weight or sensibility that each of the attributes v_i has on the person j for affecting in future decisions in the market to be taken by that person j, and expressing the corresponding results of the calculation as W_ij=[w_1j, w_2j, . . . , w_Nj];
  • creating databases A=[a_ij] and P=[p_ij] including, for every person, the universe of attributes V_i ordered by their weight W_ij or by their objective interest Z_i=[z₁, z₂, . . . , z_N], and consulting the databases A and P and selecting only particular attributes to be shown in the future to that person.

Claims

1. A method for influencing market decisions of people in the market, the method comprising the steps of:

creating an universe of N attributes V_i=[v₁, v₂, . . . , v_N], characteristics or values to be shown or exposed to a person j, and

showing said attributes v_i to said person j and calculating at least one of importance, weight and/or sensibility each of said attributes v_i has on said person j for predicting future market decisions of said person j, and expressing the corresponding results of said calculation as W_ij=[w_1j, w_2j, . . . , w_Nj],

wherein the method further comprises at least the steps of

creating a database A=[a_ij] including, for every person, said universe of attributes V_i ordered by their calculated weight W_ij, and

creating a database P=[p_ij] including, for every person, said universe of attributes Vi ordered by a corresponding objective interest level Z_i=[z₁, z₂, . . . , z_N].

2. The method of claim 1, further comprising the step of:

consulting said database A and selecting from it those attributes v_i whose importance, weight and/or sensibility w_ij, for said person j, are higher than a specific value, and showing only those selected attributes to said person j.

3. The method of claim 1, further comprising the step of:

consulting both said databases A and P and selecting from them those attributes v_i whose importance, weight and/or sensibility w_ij, for said person j, are higher than a specific value, and whose objective interest level z_i are higher than another specific value, and showing only those selected attributes whose objective interest level z_i are higher than said another specific value to said person j.

4. The method of claim 2, wherein said steps of consulting said database A, selecting said attributes and showing said selected attributes v_i, are done for a group of people instead of only one person j.

5. The method of claim 3, wherein said steps of consulting said databases A and P, selecting said attributes and showing said selected attributes v_i, are done for a group of people instead of only one person j.

6. The method of claim 1, wherein said databases A and P include said attributes v_i and their corresponding weight w_ii, related to every person, by using tuples, wherein [a_ij]=<

v_i, w_ij>

of tuples <

attribute, weight> and

[p_ij]=<

v_i, z_i>

of tuples <

attribute, interest>

.

7. The method of claim 2, wherein said consulting of said database A is done automatically.

8. The method of claim 3, wherein said consulting of said databases A and P is done automatically.

9. The method of claim 2, wherein at least one of said attributes v_i includes at least two others of said attributes v_i

10. The method of claim 3, wherein at least one of said attributes v_i includes at least two others of said attributes v_i.

11. The method of claim 1, wherein said attributes v_i refer to different articles.

12. The method of claim 1, wherein said attributes v_i are different characteristics of an article.

13. The method of claim 10, wherein said weight w_ij of said attributes v_i is a number which reflects at least one of (i) the quantity of a specific article and (ii) articles with a specific characteristic, likely to be acquired.

14. The method of claim 11, wherein said weight w_ij of said attributes v_i is a number which reflects at least one of (i) the quantity of a specific article and (ii) articles with a specific characteristic, likely to be acquired.