A novel ranking method of web search result using clustering and concordance count

Toshihiro Yoshida, Masafumi Matsuhara, Goutam Chakraborty, Hiroshi Mabuchi. A novel ranking method of web search result using clustering and concordance count. In The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012. pages 1-6, IEEE, 2012. [doi]

@inproceedings{YoshidaMCM12,
  title = {A novel ranking method of web search result using clustering and concordance count},
  author = {Toshihiro Yoshida and Masafumi Matsuhara and Goutam Chakraborty and Hiroshi Mabuchi},
  year = {2012},
  doi = {10.1109/IJCNN.2012.6252488},
  url = {http://dx.doi.org/10.1109/IJCNN.2012.6252488},
  researchr = {https://researchr.org/publication/YoshidaMCM12},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012},
  publisher = {IEEE},
  isbn = {978-1-4673-1488-6},
}