Systems and methods for suggesting creative types for online content items to an advertiser

Abstract

A computer-implemented method for generating creative type suggestions for an online content provider is provided. The method uses a computing device including a processor and a memory. The method includes training a first model with historical information including one or more of (i) serving performance of online advertisements and (ii) advertiser information. The method also includes computing a preliminary creative type suggestion using at least the first model. The method further includes modifying the preliminary creative type suggestion based at least in part on past suggestion performance to generate a final creative type suggestion. The method also includes presenting the final creative type suggestion to the online content provider.

1 - 20 . (canceled) 
     
     
         21 . A computer-implemented method for generating creative type suggestions for a content provider, said method using a computing device including a processor and a memory, said method comprising:
 training a content type model using (i) historical serving performance data of content items, (ii) content provider information, and (iii) adoption rates of previously suggested creative types, the content provider information indicating a content asset;   determining a preliminary plurality of creative types for suggestion to the content provider using at least the content type model;   modifying, using the content type model, the preliminary plurality of creative types for suggestion to the content provider based on (i) the content asset included in the content provider information, and (ii) adoption rates of previously suggested creative types to generate a final creative type suggestion; and   presenting the final creative type suggestion to the online content provider.   
     
     
         22 . The method of  claim 21 , wherein determining a preliminary plurality of creative types for suggestion to the content provider further includes generating, using the content type model, one or more of (i) a frequency of use factor associated with the preliminary plurality of creative types or (ii) a performance factor associated with the preliminary plurality of creative types. 
     
     
         23 . The method of  claim 21 , wherein determining a preliminary plurality of creative types for suggestion to the content provider further includes weighting two or more of a frequency of use factor, a performance factor, or a pre-defined creative type to generate the preliminary plurality of creative types for suggestion to the content provider. 
     
     
         24 . The method of  claim 21 , wherein the preliminary plurality of creative types for suggestion to the content provider includes suggestion values associated with the preliminary plurality of creative types, and wherein modifying the preliminary plurality of creative types for suggestion to the content provider includes modifying the suggestion values. 
     
     
         25 . The method of  claim 21 , wherein the preliminary plurality of creative types are each associated with a respective content asset type, and wherein modifying the preliminary plurality of creative types for suggestion to the content provider is based on comparing the content asset types associated with each of the preliminary plurality of creative types to the content asset provided in the content provider information. 
     
     
         26 . The method of  claim 21  further comprising generating a content provider profile for each historical content provider from a plurality of historical-content providers, thereby generating a plurality of content provider profiles, wherein training the content type model using content provider information includes training the content type model using at least the plurality of content provider profiles. 
     
     
         27 . A computer system comprising:
 an output device;   at least one memory; and   one or more processors configured to:
 train a content type model using (i) historical serving performance data of content items, (ii) content provider information, and (iii) adoption rates of previously suggested creative types, the content provider information indicating a content asset; 
 determine a preliminary plurality of creative types for suggestion to the content provider using at least the content type model; 
 modify, using the content type model, the preliminary plurality of creative types for suggestion to the content provider based on (i) the content asset included in the content provider information, and (ii) adoption rates of previously suggested creative types to generate a final creative type suggestion; and 
 present the final creative type suggestion to the online content provider. 
   
     
     
         28 . The computer system of  claim 27 , wherein said at least one processor is further configured to generate, using the content type model, one or more of (i) a frequency of use factor associated with the preliminary plurality of creative types or (ii) a performance factor associated with the preliminary plurality of creative types. 
     
     
         29 . The computer system of  claim 27 , wherein said at least one processor is further configured to weight two or more of a frequency of use factor, a performance factor, and a pre-defined creative type to generate the preliminary plurality of creative types for suggestion to the content provider. 
     
     
         30 . The computer system of  claim 27 , wherein the preliminary plurality of creative types for suggestion to the content provider includes suggestion values associated with the preliminary plurality of creative types, and wherein modifying the preliminary plurality of creative types for suggestion to the content provider includes changing the suggestion values. 
     
     
         31 . The computer system of  claim 27 , wherein the preliminary plurality of creative types are each associated with a respective content asset type, and wherein the at least one processor is configured to modify the preliminary plurality of creative types for suggestion to the content provider based on comparing the content asset types associated with each of the preliminary plurality of creative types to the content asset included in the content provider information. 
     
     
         32 . The computer system of  claim 27 , wherein said at least one processor is further configured to:
 generate an content provider profile for each historical content provider from a plurality of historical content providers, thereby generating a plurality of content provider profiles; and   train the content type model using the plurality of online content provider profiles.   
     
     
         33 . A computer-implemented method for retrieving generated creative type suggestions for from a content type suggestion system, said method using a computing device including a processor and a memory, said method comprising:
 transmitting, by a content provider computing device, content provider information to a content type suggestion system to train a content type model using (i) historical serving performance data of content items, (ii) content provider information, and (iii) adoption rates of previously suggested creative types, the content provider information including a content asset;   providing, by the content provider computing device, adoption rates of previously suggested creative types to modify a preliminary plurality of creative types for suggestion using the content type model to generate a final creative type suggestion; and   receiving, by the content provider computing device, the final creative type suggestion from the content type suggestion system.   
     
     
         34 . The method of  claim 33 , wherein transmitting the content provider information further comprises receiving, by the content provider computing device, a prompt for a content provider profile. 
     
     
         35 . The method of  claim 33 , wherein transmitting the content provider information further comprises transmitting, by the content provider computing device, landing page information associated with the content asset. 
     
     
         36 . The method of  claim 33 , wherein transmitting the content provider information further comprises transmitting, by the content provider computing device, placement information associated with the content asset. 
     
     
         37 . The method of  claim 34 , further comprising transmitting, by the content provider computing device, a content provider profile including at least one of a text asset, a image asset, and a landing page address. 
     
     
         38 . The method of  claim 33 , wherein providing the adoption rates of previously suggested creative types includes providing the adoption rates on a periodic basis. 
     
     
         39 . The method of  claim 33 , wherein receiving the final creative type suggestion from the content type suggestion system further comprises receiving an ordered list of creative type suggestions of the content type suggestion system. 
     
     
         40 . The method of  claim 33 , wherein receiving the final creative type suggestion from the content type suggestion system further comprises transmitting, to the content type suggestion system, actions at the content provider computing device in relation to the final creative type suggestion.