Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach

Quentin Labernia, Yashio Kabashima, Michimasa Irie, Toshiyuki Oike, Kohei Asano, Jinhee Chun, Takeshi Tokuyama. Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach. In Jon Degenhardt, Giuseppe Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Andrew Trotman, Yiu-Chang Lin, Huasha Zhao, editors, The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018. Volume 2319 of CEUR Workshop Proceedings, CEUR-WS.org, 2018. [doi]

@inproceedings{LaberniaKIOACT18,
  title = {Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach},
  author = {Quentin Labernia and Yashio Kabashima and Michimasa Irie and Toshiyuki Oike and Kohei Asano and Jinhee Chun and Takeshi Tokuyama},
  year = {2018},
  url = {http://ceur-ws.org/Vol-2319/ecom18DC_paper_4.pdf},
  researchr = {https://researchr.org/publication/LaberniaKIOACT18},
  cites = {0},
  citedby = {0},
  booktitle = {The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018},
  editor = {Jon Degenhardt and Giuseppe Di Fabbrizio and Surya Kallumadi and Mohit Kumar and Andrew Trotman and Yiu-Chang Lin and Huasha Zhao},
  volume = {2319},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}