Optimizing content production based upon distribution channel metrics

• US 9,197,512 B2
• Filed: 02/05/2013
• Issued: 11/24/2015
• Est. Priority Date: 02/17/2012
• Status: Expired due to Fees

• Current Assignee: Wetpaint.com Incorporated (Function(x), Inc.)
• Original Assignee: Wetpaint.com Incorporated (Function(x), Inc.)
• Inventors: Weinstein, Alex David, Finneman, Bo Steven, Frenkel, Dmitry
• Primary Examiner(s): Kumar, Anil N
• Application Number:
  US13/759,562
• Publication Number:
  US 20130219282A1
• Time in Patent Office: 1,022 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 41/5045 Making service definitions prior to deployment
• CPC Class Codes: H04L 41/5064 Customer relationship management
• CPC Class Codes: H04L 51/063 Content adaptation, e.g. replacement of unsuitable content

Abstract

Embodiments are directed towards determining an overall success of a plurality of features and recommending a subset of those features to a user for generating new content. For each feature that is associated with content, an overall success may be determined based on a success of each of a plurality of content that the feature is associated. A subset of the features may be displayed to the user—from which the user can select features to utilize for generating the new content. Based on the features selected by the user, the displayed features may be dynamically updated to include one or more recommended features. A feature may be recommended to the user based on a combination of the overall success of each selected feature and the overall success of each recommended feature. The selected features may be utilized to create the new content.

Claims

1. A method for managing content over a network, wherein at least one network device performs actions, comprising:

determining an overall success for at least one of a plurality of features for a plurality of content that is published on at least one of a plurality of channels, wherein the overall success of each of the at least one feature is based at least on each success for each of the plurality of content that is associated with the at least one feature;

displaying two or more of the plurality of features to a user, wherein the user is enabled to select at least one feature, wherein one or more relationships between the plurality of features is hierarchically arranged in a decision tree;

determining a combined overall success for each combination of the at least one selected feature and each unselected feature of the plurality of features, wherein each combined overall success is based on when the at least one selected feature is used in combination with an unselected feature for at least one same piece of content that was previously published on the at least one channel;

determining at least one unselected feature of the plurality of features to recommend as at least one recommended feature based on the determined combined overall success of the at least one recommended feature combined with the at least one selected feature having a statistically significant result that is above a predetermined threshold over the overall success of the at least one selected feature without the at least one recommended feature and the hierarchical relationship between the at least one unselected feature and the at least one recommended feature in the decision tree;

updating the displaying of features to the user to include at least one of one or more recommended features based at least on the determination of the at least one unselected feature, one or more new features, or one or more non-successful features, wherein the user is enabled to select one or more of the displayed features;

determining a score of the new content based on the overall success of the at least one selected feature in combination along with each other for published content on the at least one channel;

displaying real time updates of the score to the user; and

enabling the user to employ each selected feature to generate new content for publication on the at least one of the plurality of channels.

2. The method of claim 1, further comprising:

publishing the new content to at least one of the at least one of the plurality of channels.

3. The method of claim 1, wherein determining the overall success of each of the plurality of features, further comprises:

for each content of the plurality of content;

determining the success of the content based on a predetermined objective function;

determining each feature that is associated with the content; and

assigning the success of the content to each determined feature as the overall feature of the determined feature.

4. The method of claim 1, wherein updating the display of features, further comprises:

dynamically updating the display of the features to the user in real time to include other recommended features as the user selects additional features.

5. The method of claim 1, wherein determining the at least one recommended feature, further comprises:

determining at least one detected feature from the new content; and

determining the at least one recommended feature based on the overall success of the at least one selected feature and the at least one detected feature along with the at least one recommended feature for published content on the at least one channel.

6. The method of claim 1, wherein another overall success of each of the plurality of features is determined for another at least one of the plurality of channels.

7. A system for managing content over a network, comprising:

at least one network device, comprising;

a memory or storing data and instructions;

a processor that executes the instructions to enable actions, comprising;

determining an overall success for at least one of a plurality of features for a plurality of content that is published on at least one of a plurality of channels, wherein the overall success of each of the at least one feature is based at least on each success for each of the plurality of content that is associated with the at least one feature;

displaying two or more of the plurality of features to a user, wherein the user is enabled to select at least one feature, wherein one or more relationships between the plurality of features is hierarchically arranged in a decision tree;

determining a combined overall success for each combination of the at least one selected feature and each unselected feature of the plurality of features, wherein each combined overall success is based on when the at least one selected feature is used in combination with an unselected feature for at least one same piece of content that was previously published on the at least one channel;

determining at least one unselected feature of the plurality of features to recommend as at least one recommended feature based on the determined combined overall success of the at least one recommended feature combined with the at least one selected feature having a statistically significant result that is above a predetermined threshold over the overall success of the at least one selected feature without the at least one recommended feature and the hierarchical relationship between the at least one unselected feature and the at least one recommended feature in the decision tree;

updating the displaying of features to the user to include at least one of one or more recommended features based at least on the determination of the at least one unselected feature, one or more new features, or one or more non-successful features, wherein the user is enabled to select one or more of the displayed features;

determining a score of the new content based on the overall success of the at least one selected feature in combination along with each other for published content on the at least one channel;

displaying real time updates of the score to the user; and

enabling the user to employ each selected feature to generate new content for publication on the at least one of the plurality of channels.

8. The system of claim 7, wherein the processor enables further actions, comprising:

publishing the new content to at least one of the at least one of the plurality of channels.

9. The system of claim 7, wherein determining the overall success of each of the plurality of features, further comprises:

for each content of the plurality of content;

determining the success of the content based on a predetermined objective function;

determining each feature that is associated with the content; and

assigning the success of the content to each determined feature as the overall feature of the determined feature.

10. The system of claim 7, wherein updating the display of features, further comprises:

dynamically updating the display of the features to the user in real time to include other recommended features as the user selects additional features.

11. The system of claim 7, wherein determining the at least one recommended feature, further comprises:

determining at least one detected feature from the new content; and

determining the at least one recommended feature based on the overall success of the at least one selected feature and the at least one detected feature along with the at least one recommended feature for published content on the at least one channel.

12. The system of claim 7, wherein another overall success of each of the plurality of features is determined for another at least one of the plurality of channels.

13. A processor readable non-transitory storage media that includes instructions for managing content over a network, wherein the execution of the instructions by a processor enables actions, comprising:

determining an overall success for at least one of a plurality of features for a plurality of content that is published on at least one of a plurality of channels, wherein the overall success of each of the at least one feature is based at least on each success for each of the plurality of content that is associated with the at least one feature;

displaying two or more of the plurality of features to a user, wherein the user is enabled to select at least one feature, wherein one or more relationships between the plurality of features is hierarchically arranged in a decision tree;

determining a combined overall success for each combination of the at least one selected feature and each unselected feature of the plurality of features, wherein each combined overall success is based on when the at least one selected feature is used in combination with an unselected feature for at least one same piece of content that was previously published on the at least one channel;

determining at least one unselected feature of the plurality of features to recommend as at least one recommended feature based on the determined combined overall success of the at least one recommended feature combined with the at least one selected feature having a statistically significant result that is above a predetermined threshold over the overall success of the at least one selected feature without the at least one recommended feature and the hierarchical relationship between the at least one unselected feature and the at least one recommended feature in the decision tree;

updating the displaying of features to the user to include at least one of one or more recommended features based at least on the determination of the at least one unselected feature, one or more new features, or one or more non-successful features, wherein the user is enabled to select one or more of the displayed features;

determining a score of the new content based on the overall success of the at least one selected feature in combination along with each other for published content on the at least one channel;

displaying real time updates of the score to the user; and

enabling the user to employ each selected feature to generate new content for publication on the at least one of the plurality of channels.

14. The media of claim 13, further comprising:

publishing the new content to at least one of the at least one of the plurality of channels.

15. The media of claim 13, wherein determining the overall success of each of the plurality of features, further comprises:

for each content of the plurality of content;

determining the success of the content based on a predetermined objective function;

determining each feature that is associated with the content; and

assigning the success of the content to each determined feature as the overall feature of the determined feature.

16. The media of claim 13, wherein updating the display of features, further comprises:

dynamically updating the display of the features to the user in real time to include other recommended features as the user selects additional features.

17. The media of claim 13, wherein determining the at least one recommended feature, further comprises:

determining at least one detected feature from the new content; and

determining the at least one recommended feature based on the overall success of the at least one selected feature and the at least one detected feature along with the at least one recommended feature for published content on the at least one channel.

18. The media of claim 13, wherein another overall success of each of the plurality of features is determined for another at least one of the plurality of channels.

19. A computing device for managing content over a network, comprising:

a memory for storing data and instructions; and

a processor that executes the instructions to enable actions, including;

determining an overall success for at least one of a plurality of features for a plurality of content that is published on at least one of a plurality of channels, wherein the overall success of each of the at least one feature is based at least on each success for each of the plurality of content that is associated with the at least one feature;

displaying two or more of the plurality of features to a user, wherein the user is enabled to select at least one feature, wherein one or more relationships between the plurality of features is hierarchically arranged in a decision tree;

determining a combined overall success for each combination of the at least one selected feature and each unselected feature of the plurality of features, wherein each combined overall success is based on when the at least one selected feature is used in combination with an unselected feature for at least one same piece of content that was previously published on the at least one channel;

determining at least one unselected feature of the plurality of features to recommend as at least one recommended feature based on the determined combined overall success of the at least one recommended feature combined with the at least one selected feature having a statistically significant result that is above a predetermined threshold over the overall success of the at least one selected feature without the at least one recommended feature and the hierarchical relationship between the at least one unselected feature and the at least one recommended feature in the decision tree;

updating the displaying of features to the user to include at least one of one or more recommended features based at least on the determination of the at least one unselected feature, one or more new features, or one or more non-successful features, wherein the user is enabled to select one or more of the displayed features;

determining a score of the new content based on the overall success of the at least one selected feature in combination along with each other for published content on the at least one channel;

displaying real time updates of the score to the user; and

enabling the user to employ each selected feature to generate new content for publication on the at least one of the plurality of channels.

20. The computing device of claim 19, further comprising:

publishing the new content to at least one of the at least one of the plurality of channels.

21. The computing device of claim 19, wherein determining the overall success of each of the plurality of features, further comprises:

for each content of the plurality of content;

determining the success of the content based on a predetermined objective function;

determining each feature that is associated with the content; and

assigning the success of the content to each determined feature as the overall feature of the determined feature.

22. The computing device of claim 19, wherein updating the display of features, further comprises:

dynamically updating the display of the features to the user in real time to include other recommended features as the user selects additional features.

23. The computing device of claim 19, wherein determining the at least one recommended feature, further comprises:

determining at least one detected feature from the new content; and

determining the at least one recommended feature based on the overall success of the at least one selected feature and the at least one detected feature along with the at least one recommended feature for published content on the at least one channel.

24. The computing device of claim 19, wherein another overall success of each of the plurality of features is determined for another at least one of the plurality of channels.