Methods and systems for identifying distribution opportunities based on adjacent keywords

Abstract

A computer-implemented method includes receiving, by a first computing device, an identification of a video and an identification of a distribution channel of the video. The method includes retrieving, by the first computing device, from a video sharing network, metadata associated with a video. The method includes retrieving, by the first computing device, from a second computing device in a second network, data having at least one characteristic in common with the metadata. The method includes generating, by the first computing device, a profile of the video based on the retrieved data and the metadata. The method includes generating, by the first computing device, a profile of the distribution channel based on the retrieved data and metadata. The first computing device generates a recommendation for a method to increase a level of distribution of the video. The first computing device provides, to a user, the recommendation.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 receiving, by a first computing device, an identification of metadata of a video, the received metadata including at least one keyword;   retrieving, by the first computing device, from a video sharing network, second metadata of the video based on the received metadata, wherein the video sharing network includes at least one distribution channel for distributing the video for display on a viewer computing device, and wherein the second metadata includes at least one description of a characteristic of at least one of the video and the at least one distribution channel;   retrieving, by the first computing device, from a second computing device in a second network different from the video sharing network, data having at least one characteristic in common with at least one of the received metadata, and the retrieved second metadata;   generating, by the first computing device, a profile of the video based on the received metadata, the retrieved data, and the retrieved second metadata;   generating, by the first computing device, a profile of the at least one distribution channel based on the received metadata, the retrieved data, and the received second metadata;   analyzing, by the first computing device, the profile of the video;   analyzing, by the first computing device, the profile of the distribution channel;   identifying, by the first computing device, at least one channel adjacent to the distribution channel based on the analyses, wherein identifying further comprises:
 searching for the at least one channel adjacent to the distribution channel, in the video sharing network, having at least one characteristic in common with at least one characteristic identified in at least one of the profile of the video and the profile of the distribution channel; 
 generating, by the first computing device, a recommendation for a method to increase a level of distribution of the video, wherein the recommendation includes distributing the video in the at least one channel adjacent to the distribution channel based on the analyses and channel identification; and 
 providing, by the first computing device, to a user, the recommendation. 
   
     
     
         2 . The method of  claim 1 , wherein retrieving from the second computing device further comprises retrieving, by the first computing device, from a search engine computing device, search data having at least one characteristic in common with the metadata. 
     
     
         3 . The method of  claim 1 , wherein retrieving from the second computing device further comprises retrieving, by the first computing device, from at least one social network, social network data having at least one characteristic in common with the metadata. 
     
     
         4 . The method of  claim 1 , wherein generating the profile of the distribution channel further comprises:
 identifying, by the first computing device, a characteristic of the distribution channel based upon the retrieved metadata and the retrieved data having at least one characteristic in common with the metadata; and   including, by the first computing device, an identification of the characteristic in the profile of the distribution channel.   
     
     
         5 . The method of  claim 1 , wherein generating the recommendation further comprises:
 identifying, by the first computing device, a second video based on the analyses and searching the video sharing network;   identifying, by the first computing device, a second distribution channel in the video sharing network distributing the second video for display of the second video on a viewer computing device, wherein the second distribution channel has at least one characteristic in common with at least one of the profile of the video and the profile of the distribution channel; and   generating a recommendation to distribute the video in the second distribution channel.   
     
     
         6 . The method of  claim 1  further comprising:
 analyzing, by the first computing device, the second metadata retrieved from the video sharing network; and 
 identifying, by the first computing device, based on the analysis, a source from which traffic to the distribution channel originated. 
 
     
     
         7 . The method of  claim 6 , wherein generating the profile of the distribution channel further comprises:
 correlating, by the first computing device, the identified source with a characteristic of the distribution channel based upon the identified source; and   including, by the first computing device, an identification of the characteristic in the profile of the distribution channel.   
     
     
         8 . A non-transitory, computer readable medium comprising computer program instructions tangibly stored on the computer readable medium, wherein the computer program instructions are executable by at least one computer processor to perform a method, the method comprising:
 receiving, by a first computing device, an identification of metadata of a video, the received metadata including at least one keyword;   retrieving, by the first computing device, from a video sharing network, second metadata of the video, based on the received metadata, wherein the video sharing network includes at least one distribution channel for distributing the video for display on a viewer computing device, and wherein the second metadata includes at least one description of a characteristic of at least one of the video and the distribution channel;   retrieving, by the first computing device, from a second computing device in a second network different from the video sharing network, data having at least one characteristic in common with the at least one of the received metadata and the retrieved second metadata;   generating, by the first computing device, a profile of the video based on the received metadata, the retrieved data, and the retrieved second metadata;   generating, by the first computing device, a profile of the distribution channel based on the received metadata, the retrieved data, and the retrieved second metadata;   analyzing, by the first computing device, the profile of the video;   analyzing, by the first computing device, the profile of the distribution channel;   identifying, by the first computing device, at least one channel adjacent to the distribution channel based on the analyses, wherein identifying further comprises:
 searching for the at least one channel adjacent to the distribution channel, in the video sharing network, having a characteristic identified in at least one of the profile of the video and the profile of the distribution channel; 
   generating, by the first computing device, a recommendation for a method to increase a level of distribution of the video, wherein the recommendation includes distributing the video in the at least one channel adjacent to the distribution channel based on the analyses and channel identification; and   providing, by the first computing device, to a user, the recommendation.   
     
     
         9 . A computer-implemented method comprising:
 receiving, by a first computing device, an identification of metadata of a media file, the received metadata including at least one keyword;   retrieving, by the first computing device, from a first network including at least one distribution channel for the media file, second metadata of the media file based on the received metadata, and wherein the second metadata includes at least one description of a characteristic of at least one of the media file and the at least one distribution channel;   retrieving, by the first computing device, from a second computing device in a second network different from the first network, data having at least one characteristic in common with at least one of the received metadata, and the retrieved second metadata;   generating, by the first computing device, a profile of the media file based on the received metadata, the retrieved data, and the retrieved second metadata;   generating, by the first computing device, a profile of the at least one distribution channel based on the received metadata, the retrieved data, and the received second metadata;   analyzing, by the first computing device, the profile of the media file;   analyzing, by the first computing device, the profile of the distribution channel;   identifying, by the first computing device, at least one channel adjacent to the distribution channel based on the analyses, wherein identifying further comprises:
 searching for the at least one channel in the second network, having at least one characteristic in common with at least one characteristic identified in at least one of the profile of the media file and the profile of the distribution channel; 
   generating, by the first computing device, a recommendation for a method to increase a level of distribution of the media file, wherein the recommendation includes distributing the media file in the at least one channel in the second network, based on the analyses and channel identification; and   providing, by the first computing device, to a user, the recommendation.