# Recurrent Point Processes for Dynamic Review Models

arXiv: https://arxiv.org/abs/1912.04132 · HTML: https://mlsanity.com/paper/1912.04132/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Dec 2019.

## Built on by (most cited first, 2 of 2)

- [Modeling Events and Interactions through Temporal Processes -- A Survey](https://mlsanity.com/paper/2303.06067/) (2023)
- [Dynamic Review-based Recommenders](https://mlsanity.com/paper/2110.14747/) (2021)

## Abstract (arXiv)

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.
