System and method for digital-content-grouping, playlist-creation, and collaborator-recommendation

1. A method comprising

receiving, by a processor, a plurality of digital assets as inputs;

extracting, by the processor, metadata associated with each of the digital assets, the metadata including one or more representative features of each digital asset;

using a hierarchical representation of topics to calculate a relevancy score between the extracted metadata for each digital asset and a select topic associated with a group, the hierarchical representation of topics defining relationships between different topics; and

using the calculated relevancy score to determine whether each digital asset should be assigned to the group.

2. The method of claim 1 and further comprising: merging, splitting, and/or trimming groups of digital assets into reasonable sizes.

3. The method of claim 1 and further comprising: outputting a group of digital assets as a playlist.

4. The method of claim 1 and further comprising: using a quality, relevancy, or chronological metric to rank digital assets of the group.

5. The method of claim 1 and further comprising:

using the representative features for each digital asset along with representative features from other digital assets to determine suggested group titles.

6. The method of claim 1 , wherein the extracted metadata includes at least one topic associated with each digital asset.

7. A computer system comprising:

one or more computer processors;

an extractor tool configured to use the one or more computer processors to extract metadata associated with a digital asset, the metadata including one or more representative features of the digital asset;

a relevancy score calculator configured to use a hierarchical representation of topics to calculate a relevancy score between the extracted metadata associated with the digital asset and a select topic associated with a group of digital assets, the hierarchical representation of topics defining relationships between different topics;

a group assignment tool configured to use the relevancy score to determine whether the digital asset should be assigned to the group of digital assets.

8. The computer system of claim 7 and further comprising:

an output tool configured to merge, split, and/or trim groups of digital assets into reasonable sizes.

9. The computer system of claim 7 and further comprising: an output tool configured to output a group of digital assets as a playlist.

10. The computer system of claim 7 and further comprising:

a ranking tool configured to use a quality, relevancy, or chronological metric to rank digital assets of the group.

11. The computer system of claim 7 and further comprising:

a title suggesting tool configured to use the representative features of the digital asset along with representative features of other digital assets to determine suggested group titles.

12. A method comprising:

receiving an identifier of a content creator;

receiving identifiers of potential collaborators;

extracting, by a processor, one or more representative content-creator features from metadata associated with digital media content uploaded by the content creator, the extracted content-creator features including demographic information characterizing the content creator or characterizing viewers of the digital media content uploaded by the content creator;

extracting, by the processor, one or more potential collaborator features from metadata associated with digital media content uploaded by a potential collaborator, the extracted potential-collaborator features including demographic information characterizing the potential collaborator or characterizing viewers of the digital media content uploaded by the potential collaborator;

using the one or more representative content-creator features of the content creator and the one or more potential collaborator features to calculate one or more relevancy scores; and

using the one or more relevancy scores to determine whether the potential collaborator should be assigned to a group of relevant potential collaborators for the content creator.

13. The method of claim 12 and further comprising:

identifying a content distribution channel and a plurality of potential collaborating content distribution channels.

14. The method of claim 13 and further comprising:

using the content distribution channel as a filter to screen an initial set of prospective collaborators.

15. The method of claim 14 and further comprising:

using content distribution channel statistics as a filter to screen the initial set of prospective collaborators.

16. The method of claim 12 wherein using the one or more relevancy scores to determine whether the potential collaborator should be assigned to the group of relevant potential collaborators for the content creator comprises:

using a machine learning algorithm to design a fusing formula for applying the one or more relevancy scores of the potential collaborator.

17. The method of claim 12 , wherein the content-creator features include demographic information characterizing the content creator and the potential-collaborator features include demographic information characterizing the potential collaborator.

18. The method of claim 12 , wherein the content-creator features include audience demographic information characterizing viewers of the digital media content uploaded by the content creator and the potential-collaborator features include audience demographic information characterizing viewers of the digital media content uploaded by the potential collaborator.

19. A computer system comprising:

one or more computer processors;

an extractor tool configured to use the one or more computer processors to extract one or more representative content-creator features from metadata associated with digital media content uploaded by a content creator, the extracted content-creator features including demographic information characterizing the content creator or characterizing viewers of the digital media content uploaded by the content creator;

an extractor tool configured to use the one or more computer processors to extract one or more representative potential-collaborator features from metadata associated with digital media content uploaded by a potential collaborator, the extracted potential-collaborator features including demographic information characterizing the potential collaborator or characterizing viewers of the digital media content uploaded by the potential collaborator;

a relevancy score calculator configured to use the one or more representative content-creator features of the content creator and the one or more potential-collaborator features of the potential collaborator to calculate a relevancy score; and

a group assignment tool configured to use the one or more relevancy scores to determine whether the potential collaborator should be assigned to a group of relevant potential collaborators for the content creator.

20. The computer system of claim 19 and further comprising: an input tool to receive as an input an identifier of a content distribution channel.

21. The computer system of claim 20 and further comprising:

a filter configured to use the content distribution channel to screen an initial set of prospective collaborators.

22. The computer system of claim 21 wherein the filter is configured to use content distribution channel statistics to screen the initial set of prospective collaborators.

23. The computer system of claim 19 wherein the extractor tool uses viewer demographics as a content-creator feature.

24. A method comprising:

receiving a plurality of digital assets as inputs;

extracting metadata associated with each of the digital assets using a processor, the metadata including one or more representative features of each digital asset;

using a hierarchical representation of topics to calculate a relevancy score between the extracted metadata for each one of the digital assets and a select topic associated with a group, the hierarchical representation of topics defining relationships between different topics; and

executing a clustering algorithm by a processor to form digital asset groups, wherein the first and second digital assets are added to a same one of the digital asset groups if the calculated relevancy score satisfies a predetermined condition.