Investigating the Effects of Pre-trained BERT to Improve Sparse Data Recommender Systems

Xuan-Huy Nguyen, Long H. Trieu, Nguyen Le Minh 0001. Investigating the Effects of Pre-trained BERT to Improve Sparse Data Recommender Systems. In Katsutoshi Yada, Yasufumi Takama, Koji Mineshima, Ken Satoh, editors, New Frontiers in Artificial Intelligence - JSAI-isAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13-15, 2021, Revised Selected Papers. Volume 13856 of Lecture Notes in Computer Science, pages 287-295, Springer, 2021. [doi]

@inproceedings{NguyenTM21-0,
  title = {Investigating the Effects of Pre-trained BERT to Improve Sparse Data Recommender Systems},
  author = {Xuan-Huy Nguyen and Long H. Trieu and Nguyen Le Minh 0001},
  year = {2021},
  doi = {10.1007/978-3-031-36190-6_20},
  url = {https://doi.org/10.1007/978-3-031-36190-6_20},
  researchr = {https://researchr.org/publication/NguyenTM21-0},
  cites = {0},
  citedby = {0},
  pages = {287-295},
  booktitle = {New Frontiers in Artificial Intelligence - JSAI-isAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13-15, 2021, Revised Selected Papers},
  editor = {Katsutoshi Yada and Yasufumi Takama and Koji Mineshima and Ken Satoh},
  volume = {13856},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-36190-6},
}