METHOD FOR LEARNING A LATENT INTEREST TAXONOMY FROM MULTIMEDIA METADATA
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Oct 31, 2017
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Dec 17, 2014
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Abstract
Techniques are disclosed herein for learning latent interests based on metadata of one or more images. An analysis tool evaluates metadata associated with each digital multimedia object against a knowledge graph, where the knowledge graph is built from data including information external to each of the digital multimedia objects and where the knowledge graph provides a plurality of attributes. The analysis tool associates one or more of the plurality of attributes with each of the digital multimedia objects. Each of the attributes correlates with a time and a location described in the metadata of that object. The analysis tool identifies one or more concepts from attributes associated to each of the objects and maps each of the plurality of attributes to the one or more concepts.
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