Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge

Michele Filannino, Goran Nenadic. Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge. In Noriko Kando, Hideo Joho, Kazuaki Kishida, editors, Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR-11, National Center of Sciences, Tokyo, Japan, December 9-12, 2014. National Institute of Informatics (NII), 2014. [doi]

@inproceedings{FilanninoN14,
  title = {Using Machine Learning to Predict Temporal Orientation of Search Engines' Queries in the Temporalia Challenge},
  author = {Michele Filannino and Goran Nenadic},
  year = {2014},
  url = {http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/Temporalia/02-NTCIR11-TEMPORALIA-FilanninoM.pdf},
  researchr = {https://researchr.org/publication/FilanninoN14},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR-11, National Center of Sciences, Tokyo, Japan, December 9-12, 2014},
  editor = {Noriko Kando and Hideo Joho and Kazuaki Kishida},
  publisher = {National Institute of Informatics (NII)},
  isbn = {978-4-86049-065-2},
}