Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)

Is Human Culture Locked by Evolution?

Authors
Hao Wanghaow85@live.com
Ratidar.com
Corresponding Author
Available Online 11 July 2022.
DOI
10.2991/assehr.k.220704.192How to use a DOI?
Keywords
Zipf Distribution; ZeroMat; Human Culture; Recommender Systems
Abstract

Human culture has evolved for thousands of years and thrived in the era of Internet. Due to the availability of big data, we could do research on human culture by analyzing its representation such as user item rating values on websites like MovieLens and Douban. Industrial workers have applied recommender systems in big data to predict user behavior and promote web traffic. In this paper, we analyze the social impact of an algorithm named ZeroMat to show that human culture is locked into a state where individual’s cultural taste is predictable at high precision without historic data. We also provide solutions to this problem and interpretation of current Chinese government’s regulations and policies.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2022
ISBN
978-94-6239-589-3
ISSN
2352-5398
DOI
10.2991/assehr.k.220704.192How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Hao Wang
PY  - 2022
DA  - 2022/07/11
TI  - Is Human Culture Locked by Evolution?
BT  - Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
PB  - Atlantis Press
SP  - 1064
EP  - 1067
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220704.192
DO  - 10.2991/assehr.k.220704.192
ID  - Wang2022
ER  -