Analytics driven engagement
US-8943002-B2 · Jan 27, 2015 · US
US9104970B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9104970-B2 |
| Application number | US-201414275698-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 12, 2014 |
| Priority date | Jul 25, 2008 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a website, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method, comprising: generating, by a computing device, a predictive model for a web page of a website, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model; determining one or more predictive model types that are associated with the predictive model; determining one or more performance indicators that correspond to each…
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