HECATE: A Full-Text Retrieval System for Short Text
Song Wang, Yongping Xiong
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.75How to use a DOI?
- short text, full-text retrieval.
- Nowadays, the proportion of Chinese short text gradually increases in the Internet information. Without the division on the length of text, indexing and retrieval of traditional full-text retrieval system result in low efficiency. Oriented to short text application scenarios , we designs overall three steps for short text, including the information exchange, indexing, retrieving and optimizes the index storage structure, the selection of core words and eventually completes a system from input of the document to searching results output. Compared with the mainstream open source full text search engine Elasticsearch, Experimental results show that it has a great advantage in indexing time, space performance, retrieval time and it is necessary for full-text retrieval system to design and optimize in terms of short text.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Song Wang AU - Yongping Xiong PY - 2016/09 DA - 2016/09 TI - HECATE: A Full-Text Retrieval System for Short Text BT - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SP - 395 EP - 405 SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.75 DO - https://doi.org/10.2991/amitp-16.2016.75 ID - Wang2016/09 ER -