IP Library › Granted Patent US 9,384,444
Granted Patent B2
US 9,384,444 · App. 13/925,955 · Granted Jul 5, 2016

Web analytics neural network modeling prediction

Inventors: Natalie J. Kortum (Austin, TX); George B. Sadler (Round Rock, TX)
Assignee: Dell Products L.P.
G06N3/02
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Quick Facts
Patent No.
US 9,384,444
App. No.
13/925,955
Granted
Jul 5, 2016
Kind
B2
Abstract

A system and method are disclosed for optimizing website effectiveness. Original input data associated with a plurality of website effectiveness variables is processed using a website effectiveness model to generate a first website effectiveness value, which in turn is processed to generate a dependent variable. Input data corresponding to an individual website effectiveness variable is then processed to generate changed input data, which in turn is processed by the website effectiveness model with the original input data and the dependent variable to generate a second website effectiveness value. The first and second website effectiveness values are then processed to determine the effect of the changed data on the first website effectiveness value.

Claims (84)

1. A computer-implementable method for optimizing website effectiveness, comprising:

implementing a plurality of website effectiveness variables within a Bayesian network, the plurality of website effectiveness variables comprising individual website effectiveness variables, aggregate website effectiveness variables, each aggregate website effectiveness variable comprising a respective group of website effectiveness variables, and correlated website effectiveness variables, each correlated website effectiveness variable being affected by at least one counterpart website effectiveness variable;

receiving original input data associated with the plurality of website effectiveness variables, the plurality of website effectiveness variables corresponding to a respective plurality of elements of a website contributing to website effectiveness;

processing the original input data to generate a first website effectiveness value, the input data processed by a website effectiveness model;

processing the first website effectiveness value to generate a dependent variable;

changing input data corresponding to an individual website effectiveness variable of the plurality of website effectiveness variables to generate changed input data;

using the website effectiveness model to process the original input data, the dependent variable, and the changed input data with to generate a second website effectiveness value; and

processing the first and second website effectiveness values to determine the effect of the changed data on the first website effectiveness value.

2. The method of claim 1 , wherein the original input data comprises measurement data associated with at least one of:

a website design;

a website feature;

website content;

a website message;

a website function;

a website process; and

a website user experience.

3. The method of claim 1 , wherein an analytic method used by the website effectiveness model comprises at least one of:

multivariate analysis;

regression analysis;

Bayesian modeling;

structural equation modeling (SEM); and

business intelligence analytics.

4. The method of claim 1 , wherein the original input data is cleansed prior to being processed.

5. The method of claim 1 , wherein:

the original input data comprises time series data further comprising lag values; and

the lag values are processed to solve the lag values prior to being processed.

6. The method of claim 1 , wherein the website effectiveness model is pruned prior to being processed to ensure business sense.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:

implementing a plurality of website effectiveness variables within a Bayesian network, the plurality of website effectiveness variables comprising individual website effectiveness variables, aggregate website effectiveness variables, each aggregate website effectiveness variable comprising a respective group of website effectiveness variables, and correlated website effectiveness variables, each correlated website effectiveness variable being affected by at least one counterpart website effectiveness variable;

receiving original input data associated with a plurality of website effectiveness variables, the plurality of website effectiveness variables corresponding to a respective plurality of elements of a website contributing to website effectiveness;

processing the original input data to generate a first website effectiveness value, the input data processed by a website effectiveness model;

processing the first website effectiveness value to generate a dependent variable;

changing input data corresponding to an individual website effectiveness variable of the plurality of website effectiveness variables to generate changed input data;

using the website effectiveness model to process the original input data, the dependent variable, and the changed input data with to generate a second website effectiveness value; and

processing the first and second website effectiveness values to determine the effect of the changed data on the first website effectiveness value.

8. The system of claim 7 , wherein the original input data comprises measurement data associated with at least one of:

a website design;

a website feature;

website content;

a website message;

a website function;

a website process; and

a website user experience.

9. The system of claim 7 , wherein an analytic method used by the website effectiveness model comprises at least one of:

multivariate analysis;

regression analysis;

Bayesian modeling;

structural equation modeling (SEM); and

business intelligence analytics.

10. The system of claim 7 , wherein the original input data is cleansed prior to being processed.

11. The system of claim 7 , wherein:

the original input data comprises time series data further comprising lag values; and

the lag values are processed to solve the lag values prior to being processed.

12. The system of claim 7 , wherein the website effectiveness model is pruned prior to being processed to ensure business sense.

13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

implementing a plurality of website effectiveness variables within a Bayesian network, the plurality of website effectiveness variables comprising individual website effectiveness variables, aggregate website effectiveness variables, each aggregate website effectiveness variable comprising a respective group of website effectiveness variables, and correlated website effectiveness variables, each correlated website effectiveness variable being affected by at least one counterpart website effectiveness variable;

receiving original input data associated with a plurality of website effectiveness variables, the plurality of website effectiveness variables corresponding to a respective plurality of elements of a website contributing to website effectiveness;

processing the original input data to generate a first website effectiveness value, the input data processed by a website effectiveness model;

processing the first website effectiveness value to generate a dependent variable;

changing input data corresponding to an individual website effectiveness variable of the plurality of website effectiveness variables to generate changed input data;

using the website effectiveness model to process the original input data, the dependent variable, and the changed input data with to generate a second website effectiveness value; and

processing the first and second website effectiveness values to determine the effect of the changed data on the first website effectiveness value.

14. The non-transitory, computer-readable storage medium of claim 13 , wherein the original input data comprises measurement data associated with at least one of:

a website design;

a website feature;

website content;

a website message;

a website function;

a website process; and

a website user experience.

15. The non-transitory, computer-readable storage medium of claim 13 , wherein an analytic method used by the website effectiveness model comprises at least one of:

multivariate analysis;

regression analysis;

Bayesian modeling;

structural equation modeling (SEM); and

business intelligence analytics.

16. The non-transitory, computer-readable storage medium of claim 13 , wherein the original input data is cleansed prior to being processed.

17. The non-transitory, computer-readable storage medium of claim 13 , wherein:

the original input data comprises time series data further comprising lag values; and

the lag values are processed to solve the lag values prior to being processed.

18. The non-transitory, computer-readable storage medium of claim 13 , wherein the website effectiveness model is pruned prior to being processed to ensure business sense.

Assignments (15)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053546/0001) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC IP HOLDING COMPANY LLC
Reel/Frame 071642/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (045455/0001) Recorded May 20, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061753/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (040136/0001) Recorded Apr 26, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061324/0001 →
RELEASE OF SECURITY INTEREST Recorded Nov 3, 2021
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL, L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; WYSE TECHNOLOGY L.L.C.
Reel/Frame 058216/0001 →
SECURITY AGREEMENT Recorded Apr 22, 2020
From: CREDANT TECHNOLOGIES INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 053546/0001 →
SECURITY AGREEMENT Recorded Mar 21, 2019
From: CREDANT TECHNOLOGIES, INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 049452/0223 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
Reel/Frame 040136/0001 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
Reel/Frame 040134/0001 →
RELEASE OF SECURITY INTEREST Recorded Sep 14, 2016
From: BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS COLLATERAL AGENT
To: DELL MARKETING L.P.; ASAP SOFTWARE EXPRESS, INC.; APPASSURE SOFTWARE, INC.; COMPELLENT TECHNOLOGIES, INC.; CREDANT TECHNOLOGIES, INC.; DELL INC.; DELL PRODUCTS L.P.; DELL USA L.P.; DELL SOFTWARE INC.; FORCE10 NETWORKS, INC.; PEROT SYSTEMS CORPORATION; SECUREWORKS, INC.; WYSE TECHNOLOGY L.L.C.
Reel/Frame 040065/0618 →
RELEASE OF SECURITY INTEREST Recorded Sep 14, 2016
From: BANK OF AMERICA, N.A., AS COLLATERAL AGENT
To: DELL MARKETING L.P.; ASAP SOFTWARE EXPRESS, INC.; APPASSURE SOFTWARE, INC.; COMPELLENT TECHNOLOGIES, INC.; CREDANT TECHNOLOGIES, INC.; DELL INC.; DELL PRODUCTS L.P.; DELL USA L.P.; DELL SOFTWARE INC.; FORCE10 NETWORKS, INC.; PEROT SYSTEMS CORPORATION; SECUREWORKS, INC.; WYSE TECHNOLOGY L.L.C.
Reel/Frame 040040/0001 →
RELEASE OF SECURITY INTEREST Recorded Sep 13, 2016
From: BANK OF AMERICA, N.A., AS ADMINISTRATIVE AGENT
To: DELL MARKETING L.P.; ASAP SOFTWARE EXPRESS, INC.; APPASSURE SOFTWARE, INC.; COMPELLANT TECHNOLOGIES, INC.; CREDANT TECHNOLOGIES, INC.; DELL INC.; DELL PRODUCTS L.P.; DELL USA L.P.; DELL SOFTWARE INC.; FORCE10 NETWORKS, INC.; PEROT SYSTEMS CORPORATION; SECUREWORKS, INC.; WYSE TECHNOLOGY L.L.C.
Reel/Frame 040065/0216 →
PATENT SECURITY AGREEMENT (ABL) Recorded Jan 2, 2014
From: DELL INC.; APPASSURE SOFTWARE, INC.; ASAP SOFTWARE EXPRESS, INC.; BOOMI, INC.; COMPELLENT TECHNOLOGIES, INC.; CREDANT TECHNOLOGIES, INC.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL USA L.P.; FORCE10 NETWORKS, INC.; GALE TECHNOLOGIES, INC.; PEROT SYSTEMS CORPORATION; SECUREWORKS, INC.; WYSE TECHNOLOGY L.L.C.
To: BANK OF AMERICA, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 031898/0001 →
PATENT SECURITY AGREEMENT (TERM LOAN) Recorded Jan 2, 2014
From: DELL INC.; APPASSURE SOFTWARE, INC.; ASAP SOFTWARE EXPRESS, INC.; BOOMI, INC.; COMPELLENT TECHNOLOGIES, INC.; CREDANT TECHNOLOGIES, INC.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL USA L.P.; FORCE10 NETWORKS, INC.; GALE TECHNOLOGIES, INC.; PEROT SYSTEMS CORPORATION; SECUREWORKS, INC.; WYSE TECHNOLOGY L.L.C.
To: BANK OF AMERICA, N.A., AS COLLATERAL AGENT
Reel/Frame 031899/0261 →
PATENT SECURITY AGREEMENT (NOTES) Recorded Jan 2, 2014
From: APPASSURE SOFTWARE, INC.; ASAP SOFTWARE EXPRESS, INC.; BOOMI, INC.; COMPELLENT TECHNOLOGIES, INC.; CREDANT TECHNOLOGIES, INC.; DELL INC.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL USA L.P.; FORCE10 NETWORKS, INC.; GALE TECHNOLOGIES, INC.; PEROT SYSTEMS CORPORATION; SECUREWORKS, INC.; WYSE TECHNOLOGY L.L.C.
To: BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS FIRST LIEN COLLATERAL AGENT
Reel/Frame 031897/0348 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 23, 2013
From: KORTUM, NATALIE J.; SADLER, GEORGE B.
To: DELL PRODUCTS L.P.
Reel/Frame 030852/0864 →
Continuity (2)
Continuation In Part 13547322 · Jul 12, 2012
Related Publication 20140019391A1 · Jan 16, 2014