Recurrent Point Processes for Dynamic Review Models

Recent progress in recommender system research has shown
the importance of including temporal representations to improve interpretability and performance. Here, we incorporate temporal representations in continuous time via recurrent
point process for a dynamical model of reviews. Our goal is
to characterize how changes in perception, user interest and
seasonal effects affect review text.