Analysis of Information Retrieval Teaching Against the Background of Big Data
Authors
Li Ding, Qian Zhao
Corresponding Author
Qian Zhao
Available Online 29 November 2020.
- DOI
- 10.2991/assehr.k.201128.037How to use a DOI?
- Keywords
- big data, information retrieval, full data model, correlation, information quality
- Abstract
In the era of big data, information is exploding. The education and development model for college students are also undergoing certain changes. In response to the current trend, the concepts and methods of information retrieval teaching are re-researched and explored, and new data concepts are used to make the information as a resource that can be used efficiently and make students realize the importance of information retrieval for the quality training of college students.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li Ding AU - Qian Zhao PY - 2020 DA - 2020/11/29 TI - Analysis of Information Retrieval Teaching Against the Background of Big Data BT - Proceedings of the International Conference on Education Studies: Experience and Innovation (ICESEI 2020) PB - Atlantis Press SP - 208 EP - 211 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201128.037 DO - 10.2991/assehr.k.201128.037 ID - Ding2020 ER -