Proceedings of the International Conference on Education Studies: Experience and Innovation (ICESEI 2020)

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/).

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Volume Title
Proceedings of the International Conference on Education Studies: Experience and Innovation (ICESEI 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 November 2020
ISBN
10.2991/assehr.k.201128.037
ISSN
2352-5398
DOI
10.2991/assehr.k.201128.037How to use a DOI?
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  -