Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)

The development of artificial intelligence in the field of recommendation system

Authors
Liyang Yan, Hui Cao, Xiangzhen He
Corresponding Author
Liyang Yan
Available Online May 2018.
DOI
10.2991/icammce-18.2018.69How to use a DOI?
Keywords
Recommendation system, Artificial intelligence, Deep learning, Collaborative filtering
Abstract

In recent years, with the rise of artificial intelligence, great progress has been made in computer vision, speech recognition and natural language processing. In the rapid change of technology, the recommendation system has become an important part of many Internet applications. The development of nearly 10 studies has made this field rapidly emerging, and the recommendation system based on deep learning has become a research hotspot in the industry.

Copyright
© 2018, 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 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/icammce-18.2018.69
ISSN
2352-5401
DOI
10.2991/icammce-18.2018.69How to use a DOI?
Copyright
© 2018, 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  - Liyang Yan
AU  - Hui Cao
AU  - Xiangzhen He
PY  - 2018/05
DA  - 2018/05
TI  - The development of artificial intelligence in the field of recommendation system
BT  - Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
PB  - Atlantis Press
SP  - 311
EP  - 316
SN  - 2352-5401
UR  - https://doi.org/10.2991/icammce-18.2018.69
DO  - 10.2991/icammce-18.2018.69
ID  - Yan2018/05
ER  -