A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes

Rina Kagawa, Akira Imakura, Masaki Matsubara. A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes. In Dion Hoe-Lian Goh, Shu-jiun Chen, Suppawong Tuarob, editors, Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Taipei, Taiwan, December 4-7, 2023, Proceedings, Part I. Volume 14457 of Lecture Notes in Computer Science, pages 218-227, Springer, 2023. [doi]

@inproceedings{KagawaIM23,
  title = {A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes},
  author = {Rina Kagawa and Akira Imakura and Masaki Matsubara},
  year = {2023},
  doi = {10.1007/978-981-99-8085-7_20},
  url = {https://doi.org/10.1007/978-981-99-8085-7_20},
  researchr = {https://researchr.org/publication/KagawaIM23},
  cites = {0},
  citedby = {0},
  pages = {218-227},
  booktitle = {Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Taipei, Taiwan, December 4-7, 2023, Proceedings, Part I},
  editor = {Dion Hoe-Lian Goh and Shu-jiun Chen and Suppawong Tuarob},
  volume = {14457},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8085-7},
}