Research of vertical search engine index module for college entrance examination Forum
Yangyang Guo, Cao Hui, Fucheng Wan
Available Online June 2017.
- https://doi.org/10.2991/gcmce-17.2017.6How to use a DOI?
- Vertical search engine, Classification system, Classification index.
- The vertical search engine index classification method based on ontology, through the introduction of text classification in PubMed forum based on ontology semantic information is added into index, can effectively improve the vertical search engine retrieval recall and precision, improve the relevance of search results ranking results. Firstly, the design of a classification system based on domain ontology, achieve fine-grained multi class text classification; and then design a new classification index structure, the categories of information and information and the formation of effective combination of keywords, classification index; finally the generating algorithm of classification index design, and puts forward the classification index compression, optimization method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yangyang Guo AU - Cao Hui AU - Fucheng Wan PY - 2017/06 DA - 2017/06 TI - Research of vertical search engine index module for college entrance examination Forum BT - 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017) PB - Atlantis Press SP - 27 EP - 30 SN - 2352-5401 UR - https://doi.org/10.2991/gcmce-17.2017.6 DO - https://doi.org/10.2991/gcmce-17.2017.6 ID - Guo2017/06 ER -