Systems and methods for automating content design transformations based on user preference and activity data

Abstract

A method includes determining a plurality of harvest content items. The harvest content items are ranked based on a performance metric. Matching criterion aspects of the harvest content items are determined. Aspects of a candidate content item are compared with the plurality of harvest content items according to the matching criterion aspects. A subset of the harvest content items that are similar to the candidate content item is determined. A transformation for the candidate content item is selected and applied to the candidate content item to generate a transformed content item.

What is claimed is: 
     
         1 . A system for evaluating a content item, the system comprising a processor having programmed instructions to:
 receive a plurality of harvest content items;   rank each of the plurality of harvest content items based on at least one performance metric;   determine matching criterion aspects of the plurality of harvest content items;   compare aspects of a first candidate content item with the plurality of harvest content items according to the determined matching criterion aspects;   determine a subset of the plurality of harvest content items that are relevant to the first candidate content item based on the comparison of the aspects of the first candidate content item with the plurality of harvest content items;   calculate a score for the first candidate content item, based on the at least one performance metric and at least one target audience;   identify at least one characteristic of the first candidate content item; and   determine whether the identified characteristic of the first candidate content item is associated with an increase or a decrease in the score for the first candidate content item.   
     
     
         2 . The system of  claim 1 , wherein the processor is further programmed with instructions to:
 generate a data file including information corresponding to the determination of whether the identified characteristic of the first candidate content item is associated with the increase or the decrease in the score for the first candidate content item; and   store the data file in one or more data structures.   
     
     
         3 . The system of  claim 2 , wherein the processor is further programmed with instructions to provide a message to a user associated with the first candidate content item, the message including the information corresponding to the determination of whether the identified characteristic of the first candidate content item is associated with the increase or the decrease in the score for the first candidate content item. 
     
     
         4 . The system of  claim 3 , wherein the processor is further programed with instructions to provide a GUI for display on a computing device of the user, wherein the message is provided via the GUI displayed on the user computing device. 
     
     
         5 . The system of  claim 4 , wherein the processor is further programed with instructions to provide the GUI via at least one of an extension of a web browser executing on the user computing device and a client application executing on the client computing device. 
     
     
         6 . The system of  claim 3 , wherein the processor is further programmed with instructions to:
 receive at least a second candidate content item from the user;   calculate a score for the second candidate content item; and   rank the first candidate content item and the second candidate content item according to their respective scores.   
     
     
         7 . The system of  claim 6 , wherein the processor is further programmed with instructions to calculate the score for the second candidate content item based on the at least one performance metric and the at least one target audience. 
     
     
         8 . The system of  claim 6 , wherein the processor is further programmed with instructions to provide a second message to the user, the second message including information corresponding to the ranking of the first candidate content item and the second candidate content item. 
     
     
         9 . The system of  claim 1 , wherein the at least one performance metric comprises at least one of a uniqueness performance metric and an engagement metric. 
     
     
         10 . The system of  claim 1 , wherein the processor is further programmed with instructions to select a first transformation for the first candidate content item to make at least one characteristic of the first candidate content item more like the at least one characteristic of a first harvest content item of the subset of the plurality of harvest content items that is ranked more highly than a second harvest content item of the subset of the plurality of harvest content items. 
     
     
         11 . The system of  claim 10 , wherein the processor is further programmed with instructions to apply the selected first transformation to the first candidate content item to generate a transformed content item. 
     
     
         12 . The system of  claim 11 , wherein the processor is further programmed with instructions to determine an intensity associated with the selected transformation prior to applying the selected transformation to the first candidate content item. 
     
     
         13 . The system of  claim 7 , wherein the processor is further programed with instructions to calculate a second score for the first candidate content item, based on at least a second target audience. 
     
     
         14 . A method for evaluating a content item, the method comprising:
 receiving a plurality of harvest content items;   ranking each of the plurality of harvest content items based on at least one performance metric;   determining matching criterion aspects of the plurality of harvest content items;   comparing aspects of a first candidate content item with the plurality of harvest content items according to the determined matching criterion aspects;   determine a subset of the plurality of harvest content items that are relevant to the first candidate content item based on the comparison of the aspects of the first candidate content item with the plurality of harvest content items;   calculating a score for the first candidate content item, based on the at least one performance metric and at least one target audience;   identifying at least one characteristic of the first candidate content item; and   determining whether the identified characteristic of the first candidate content item is associated with an increase or a decrease in the score for the first candidate content item.   
     
     
         15 . The method of  claim 14 , further comprising:
 generating a data file including information corresponding to the determination of whether the identified characteristic of the first candidate content item is associated with the increase or the decrease in the score for the first candidate content item; and   storing the data file in one or more data structures.   
     
     
         16 . The method of  claim 15 , further comprising:
 providing a message to a user associated with the first candidate content item, the message including information corresponding to the determination of whether the identified characteristic of the first candidate content item is associated with the increase or the decrease in the score for the first candidate content item.   
     
     
         17 . The method of  claim 16 , further comprising:
 providing a GUI for display on a computing device of the user, wherein the message is provided via the GUI displayed on the user computing device.   
     
     
         18 . The method of  claim 17 , further comprising:
 providing the GUI via at least one of an extension of a web browser executing on the user computing device and a client application executing on the client computing device.   
     
     
         19 . The method of  claim 16 , further comprising:
 receiving at least a second candidate content item from the user;   calculating a score for the second candidate content item; and   ranking the first candidate content item and the second candidate content item according to their respective scores.   
     
     
         20 . The method of  claim 19 , further comprising:
 calculating the score for the second candidate content item based on the at least one performance metric and the at least one target audience.   
     
     
         21 . The method of  claim 19 , further comprising:
 providing a second message to the user, the second message including information corresponding to the ranking of the first candidate content item and the second candidate content item.   
     
     
         22 . The method of  claim 14 , wherein the at least one performance metric comprises at least one of a uniqueness performance metric and an engagement metric.