Evolving the User Graph: From unsupervised topic models to knowledge assisted networks

Abstract

The next generation intelligent devices need to understand and evolve with the user. Towards this goal, we present a User Graph generation framework that models user's level of interest and knowledge across a set of categories. The user graph is built through an unsupervised and semi-supervised topic modeling process, using latent semantic analysis… (More)
DOI: 10.1109/ICOSC.2015.7050792

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