Open Access
Issue
MATEC Web Conf.
Volume 176, 2018
2018 6th International Forum on Industrial Design (IFID 2018)
Article Number 03014
Number of page(s) 4
Section Information Technology and Cloud Design Service Platform
DOI https://doi.org/10.1051/matecconf/201817603014
Published online 02 July 2018
  1. China Internet Network Information Center, The 31th China Internet Development Statistics Report, http://www.cnnic.cn/, 2017.12. [Google Scholar]
  2. Pu Hong, 2016. Research and Implementation of Lucene-Based Search Engine. Dalian University of Technology. [Google Scholar]
  3. Mingqing Wang, 2010. Research and Implementation of Web Vertical Search Engine Technology Based on JAVA+Lucene+Heritrix. Hebei University of Technology, [Google Scholar]
  4. Zhou, Yachao Li, TaoJiang, Hongzhi Yu, Yangji Jia, 2011. Dictionary-based Cross-Language Retrieval System in Tibetan and ChineseJournal of Northwest University for Nationalities(Natural Science), vol. 32, pp. 40-43. (in Chinese) [Google Scholar]
  5. Heng Wang, Shaoshan Wang, 2013. Research and Implementation of Subject-Oriented Intra-domain Vertical Search Engine System Journal of Ningxia University (Natural Science Edition), vol. 34, pp. 54- 57 (in Chinese). [Google Scholar]
  6. Story R.E, 1996. An Explanation of the Effectiveness of Latent Semantic Index by Means of a Bayesian Regression Model. Information Processing and Management, vol. 32, pp. 329-344. [CrossRef] [Google Scholar]
  7. Chuanming Jin, 2011. Research and Implementation of Vertical Search Engine. Yunnan University (in Chinese). [Google Scholar]
  8. Zhe Qiu, Taotao Fu. Lucene, 2017. 2.0+Heriteix develops its own search engine. Posts & Telecom Press (in Chinese). [Google Scholar]
  9. Fucheng Wan, Dongchen Li, Xiangzhen He, 2014. Tao Xu. Research on Tibetan Text Indexing Strategy for Information Retrieval. Computer Engineering and Applications, vol. 50, pp 208-211 (in Chinese). [Google Scholar]
  10. YunQiang Liu, 2010. Research and Design of Vertical Search Engine. Computer Applications and Software, vol.27, pp 130-133 (in China). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.