System and method integrating machine learning algorithms to enrich documents in a content management system
AssigneeHyland UK Operations Limited
InventorsJohn Newton, Brian Remmington, Jan Vonka, Tom Morris, Chris Hudson-Silver, Cezar Leahu
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Abstract
A system and method for integrating machine learning algorithms to enrich content items in a content management system. The content management system includes at least one processor, a transformation engine to execute one or more transformations on content items stored in the content management system, and a machine learning services to apply a machine learning algorithm to the content items based on the one or more transformations.
Claims20
A content management system comprising:
- at least one processor in communication with a content server having one or more storage media devices for storing one or more content items;
- a first machine learning transformation model;
- and a second machine learning transformation model;
- a first content item being transformed from a first format to a second format, wherein the transforming is performed by application of the first machine learning transformation model and the second machine learning transformation model;
- wherein the first machine learning transformation model generates an association between the first format and the second format;
- the first machine learning transformation model invokes a transformation policy based on the association;
- and
- the transformation policy is invoked to update the first content item or changes in the association.
A method of managing content in a content management system comprising:
- at least one processor in communication with a content server having one or more storage media devices for storing one or more content items;
- a first machine learning transformation model;
- and a second machine learning transformation model;
- the method comprising transforming a first content item from a first format to a second format, wherein the transforming is performed by application of the first machine learning transformation model and the second machine learning transformation model;
- wherein the first machine learning transformation model generates an association between the first format and the second format;
- the first machine learning transformation model invokes a transformation policy based on the association;
- and
- the transformation policy is invoked to update the first content item or changes in the association.
A computer program product comprising a non-transitory machine-readable medium storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
- servicing a first content item having a first rendition, in response to receiving a first transformation triggering event;
- transforming the first content item by at least partially using the first rendition from a first format to a second format, in response to detecting a change to the first content item or a change to metadata associated with the first content item;
- and
- applying two or more machine learning models to the transformation such that a second rendition of the first content item is generated and stored in one or more storage media devices;
- wherein a first machine learning model generates an association between the first format and the second format;
- the first machine learning transformation model invokes a transformation policy based on the association;
- and
- the transformation policy is invoked to update the first content item or changes in the association.
Dependencies are inferred from the claim text.