RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation

Hao Jiang, Chuanzhen Li, JuanJuan Cai, Jingling Wang. RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation. In Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, Barbara Poblete, editors, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. pages 1710-1720, ACM, 2023. [doi]

@inproceedings{JiangLCW23,
  title = {RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation},
  author = {Hao Jiang and Chuanzhen Li and JuanJuan Cai and Jingling Wang},
  year = {2023},
  doi = {10.1145/3539618.3591753},
  url = {https://doi.org/10.1145/3539618.3591753},
  researchr = {https://researchr.org/publication/JiangLCW23},
  cites = {0},
  citedby = {0},
  pages = {1710-1720},
  booktitle = {Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023},
  editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete},
  publisher = {ACM},
  isbn = {978-1-4503-9408-6},
}