REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation

Huiting Liu, Kun Cai, Peipei Li 0001, Cheng Qian, Peng Zhao, Xindong Wu 0001. REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl., 213(Part):118926, 2023. [doi]

@article{LiuCLQZW23,
  title = {REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation},
  author = {Huiting Liu and Kun Cai and Peipei Li 0001 and Cheng Qian and Peng Zhao and Xindong Wu 0001},
  year = {2023},
  doi = {10.1016/j.eswa.2022.118926},
  url = {https://doi.org/10.1016/j.eswa.2022.118926},
  researchr = {https://researchr.org/publication/LiuCLQZW23},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {213},
  number = {Part},
  pages = {118926},
}