  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.
