Method for learning a latent interest taxonomy from multimedia metadata
AssigneeThe Honest Company, Inc.
InventorsMohammad Sabah, Mohammad Iman Sadreddin, Shafaq Abdullah
Life of this patent
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Abstract
Techniques are disclosed herein for learning latent interests based on metadata of one or more images. An analysis tool associates one or more attributes with each of the objects based on a time and a location described in the metadata of that object. Each of the attributes describes one of a plurality of locations or an event scheduled to occur at one or more of the plurality of locations. The analysis tool identifies one or more concepts from a distribution of the one or more attributes to each of the objects. Each of the one or more concepts includes at least a first attribute in the distribution that co-occurs with a second attribute in the distribution.
Claims20
A method for identifying latent relationships between interests based on metadata of a plurality of digital multimedia objects, the method comprising:
- evaluating metadata associated with each digital multimedia object against a knowledge graph, wherein the knowledge graph is built from data comprising information external to each of the digital multimedia objects and wherein the knowledge graph provides a plurality of attributes, each attribute describing information relating to an event scheduled at one of a plurality of locations;
- associating, based on the evaluation, one or more of the plurality of attributes with each of the digital multimedia objects, the one or more attributes correlating with a time and a location described in the metadata of that object;
- identifying one or more concepts from a distribution of the associated attributes to each of the objects;
- and
- mapping each of the plurality of attributes to the one or more concepts based on the distribution.
A non-transitory computer-readable storage medium storing instructions, which, when executed on a processor, performs an operation for identifying latent relationships between interests based on metadata of a plurality of digital multimedia objects, the operation comprising:
- evaluating metadata associated with each digital multimedia object against a knowledge graph, wherein the knowledge graph is built from data comprising information external to each of the digital multimedia objects and wherein the knowledge graph provides a plurality of attributes, each attribute describing information relating to an event scheduled at one of a plurality of locations;
- associating, based on the evaluation, one or more of the plurality of attributes with each of the digital multimedia objects, the one or more attributes correlating with a time and a location described in the metadata of that object;
- identifying one or more concepts from a distribution of the associated attributes to each of the objects;
- and
- mapping each of the plurality of attributes to the one or more concepts based on the distribution.
A system, comprising:
- a processor;
- and
- a memory storing one or more application programs configured to perform an operation for identifying latent relationships between interests based on metadata of a plurality of digital multimedia objects, the operation comprising:
- evaluating metadata associated with each digital multimedia object against a knowledge graph, wherein the knowledge graph is built from data comprising information external to each of the digital multimedia objects and wherein the knowledge graph provides a plurality of attributes, each attribute describing information relating to an event scheduled at one of a plurality of locations,
- associating, based on the evaluation, one or more of the plurality of attributes with each of the digital multimedia objects, the one or more attributes correlating with a time and a location described in the metadata of that object,
- identifying one or more concepts from a distribution of the associated attributes to each of the objects, and
- mapping each of the plurality of attributes to the one or more concepts based on the distribution.
Dependencies are inferred from the claim text.