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Bayesian Prior Learning via Neural Networks for Next-item Recommendation
We model the next item prediction problem using the Bayesian framework and capture the probability of appearance of a sequence through the posterior mean of the Beta distribution.
Recent Progress in Conversational AI
Conversational artificial intelligence (AI) is becoming an increasingly popular topic among industry and academia.
On2Vec: Embedding-based Relation Prediction for Ontology Population
Recent advances in translation-based graph embedding methods for populating instance-level knowledge graphs lead to promising new approaching for the ontology population problem.
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