Corpus ID: 208910152

Recurrent Point Processes for Dynamic Review Models

@article{Cvejoski2019RecurrentPP,
  title={Recurrent Point Processes for Dynamic Review Models},
  author={Kostadin Cvejoski and Rams{\'e}s J. S{\'a}nchez and Bogdan Georgiev and Jannis Sch{\"u}cker and Christian Bauckhage and C{\'e}sar Ojeda},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.04132}
}
  • Kostadin Cvejoski, Ramsés J. Sánchez, +3 authors César Ojeda
  • Published in ArXiv 2019
  • Computer Science, Mathematics
  • 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. 

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 20 REFERENCES