Granted Patent B2

US 10,509,831 · App. 13/560,906 · Granted Dec 17, 2019

Abstract

Claims (80)

1. A method comprising:

storing, in a content server, a plurality of article pages accessible via a home page of a website;

storing, in the content server for each respective article page among the plurality of article pages, a plurality of copy-written headlines of the respective article page;

tagging the each respective article page with article tags describing characteristics of the each respective article page;

identifying performance of combinations of headline tags using machine learning, wherein identifying the performance of the combinations of headline tags using machine learning comprises determining optimal combinations of metadata, and wherein a portion of the metadata relates to headline format;

tagging each respective headline of the plurality of copy-written headlines with respective combinations of headline tags describing characteristics of the respective headline, wherein at least a portion of the article tags and the respective combinations of headline tags describes time and location characteristics of the each respective article page;

storing, in a database, performance metrics associated with the performance of the combinations of headline tags;

tagging the performance metrics with at least time and location tags;

configuring the home page of the website with an embedded reference to obtain content from the content server;

receiving a request of an end user device for the home page; and

in response to the request of the end user device:

identifying, by a computing device, location and time information of the request of the end user device;

generating, by the computing device, a request for content according to the embedded reference in the home page;

selecting, from the plurality of article pages, a suggested article page and selecting a suggested headline from a plurality of copy-written headlines of the suggested article page by:

determining, by the computing device, performance of the plurality of copy-written headlines of the suggested article page based at least in part on the location and time information of the request of the end user device;

determining, by the computing device, that the suggested article page is appropriate for the home page based on:

article tags of the article page,

headline tags of the plurality of copy-written headlines of the suggested article page, and

the performance of the plurality of copy-written headlines of the suggested article page, identified by:

 transmitting, by the computing device to the database, a request for time and location metadata;

 receiving, by the computing device, the time and location metadata from the database, based on the location and time information of the request of the end user device; and

 overlaying, by the computing device, the headline tags of the plurality of copy-written headlines of the suggested article page with the time and location metadata retrieved from the database; and

selecting the suggested headline from the plurality of copy-written headlines of the suggested article page based on applying, by the computing device, a rule to identify optimal performance indicated by overlaying time and location in the headline tags of the plurality of copy-written headlines of the suggested article page and the time and location metadata retrieved from the database, wherein the optimal performance is identified based at least on the performance metrics stored in the database;

configuring, by the computing device, the home page to include the suggested headline with a link to the article page; and

transmitting, by the website to the end user device, the home page that is configured with the suggested headline having the link to the suggested article page.

2. The method of claim 1 , wherein the time and location metadata from the database comprises a subset of locations.

3. The method of claim 2 , wherein the subset of locations comprises at least one of a coastal location, an inland location, an urban location, or a rural location.

4. A system comprising:

at least one processor; and

memory storing instructions configured to instruct the at least one processor to:

receive, over a network, a request for suggested content for a web page;

store, in a content server, a plurality of article pages accessible via a home page of a website;

store, in the content server for each respective article page among the plurality of article pages, a plurality of copy-written headlines of the respective article page;

tag the each respective article page with tags describing characteristics of the each respective article page;

identify performance of combinations of headline tags using machine learning, wherein identifying the performance of the combinations of headline tags using machine learning comprises determining optimal combinations of metadata including metadata relating to format, and wherein a portion of the metadata relates to headline format;

tag each respective headline of the plurality of copy-written headlines with respective combinations of headline tags describing characteristics of the respective headline, wherein at least a portion of the article tags and the respective combinations of headline tags describes time and location characteristics of the each respective article page;

store, in a database, performance metrics associated with the performance of the combinations of headline tags;

tag the performance metrics with at least time and location tags;

configure the home page of the website with an embedded reference to obtain content from the content server;

receive a request of an end user device for the home page;

in response to the request of the end user device:

identify, by a computing device, location and time information of the request of the end user device;

generate, by the computing device, a request for content according to the embedded reference in the home page;

select, from the plurality of article pages, a suggested article page and select a suggested headline from a plurality of copy-written headlines of the suggested article page by:

determine, by the computing device, performance of the plurality of copy-written headlines of the suggested article page based at least in part on the location and time information of the request of the end user device;

determine, by the computing device, that the suggested article page is appropriate for the home page based on:

article tags of article page,

headline tags of the plurality of copy-written headlines of the suggested article page, and

the performance of the plurality of copy-written headlines of the suggested article page, identified by:

 transmitting, by the computing device to the database, a request for time and location metadata;

 receiving, by the computing device, the time and location metadata from the database, based on the location and time information of the request of the end user device;

 overlaying, by the computing device, the headline tags of the plurality of copy-written headlines of the suggested article page with the time and location metadata retrieved from the database;

select the suggested headline from the plurality of copy-written headlines of the suggested article page based on applying a rule to identify optimal performance indicated by overlaying time and location in the headline tags of the plurality of copy-written headlines of the suggested article page and the time and location metadata retrieved from the database, wherein the optimal performance is identified based at least on the performance metrics stored in the database;

configure, by the computing device, the home page to include the suggested headline with a link to the article page; and

transmit, by the website to the end user device, the home page that is configured with the suggested headline having the link to the suggested article page.

5. A non-transitory computer readable medium storing instructions which when executed by a computing apparatus cause the computing apparatus to perform a method, the method comprising:

storing, in a content server, a plurality of article pages accessible via a home page of a website;

storing, in the content server for each respective article page among the plurality of article pages, a plurality of copy-written headlines of the respective article page;

tagging the each respective article page with article tags describing characteristics of the each respective article page;

identifying performance of combinations of headline tags using machine learning, wherein identifying the performance of the combinations of headline tags using machine learning comprises determining optimal combinations of metadata including metadata relating to format, and wherein a portion of the metadata relates to headline format;

tagging each respective headline of the plurality of copy-written headlines with respective combinations of headline tags describing characteristics of the respective headline, wherein at least a portion of the article tags and the respective combinations of headline tags describes time and location characteristics of the each respective article page;

storing, in a database, performance metrics associated with the performance of the combinations of headline tags;

tagging the performance metrics with at least time and location tags;

configuring the home page of the website with an embedded reference to obtain content from the content server;

receiving a request of an end user device for the home page; and

in response to the request of the end user device:

identifying, by a computing device, location and time information of the request of the end user device;

generating, by the computing device, a request for content according to the embedded reference in the home page;

selecting, from the plurality of article pages, a suggested article page and selecting a suggested headline from a plurality of copy-written headlines of the suggested article page by:

determining, by the computing device, performance of the plurality of copy-written headlines of the suggested article page based at least in part on the location and time information of the request of the end user device;

determining, by the computing device, that the suggested article page is appropriate for the home page based on:

article tags of the article page,

headline tags of the plurality of copy-written headlines of the suggested article page, and

the performance of the plurality of copy-written headlines of the suggested article page, identified by:

 transmitting, by the computing device to the database, a request for time and location metadata;

 receiving, by the computing device, the time and location metadata from the database, based on the location and time information of the request of the end user device; and

 overlaying, by the computing device, the headline tags of the plurality of copy-written headlines of the suggested article page with the time and location metadata retrieved from the database; and

selecting the suggested headline from the plurality of copy-written headlines of the suggested article page based on applying, by the computing device, a rule to identify optimal performance indicated by overlaying time and location in the headline tags of the plurality of copy-written headlines of the suggested article page and the time and location metadata retrieved from the database, wherein the optimal performance is identified based at least on the performance metrics stored in the database;

configuring, by the computing device, the home page to include the suggested headline with a link to the article page; and

transmitting, by the website to the end user device, the home page that is configured with the suggested headline having the link to the suggested article page.

Assignments (8)