2018 | OriginalPaper | Chapter
Predicting Temporal Activation Patterns via Recurrent Neural Networks
Authors : Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
Published in: Foundations of Intelligent Systems
Publisher: Springer International Publishing
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Abstract
PATH
, leverages recurrent neural networks to learn an embedding of the past events. The embedding allows to capture influence and susceptibility between users and places closer (the representation of) users that frequently get active in different event streams within a small time interval. We conduct an experimental evaluation on real world data and compare our approach with related work.