Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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The Production and Operation Path of Net-generated Documentary High-Quality Development Based on Big Data

Authors
Yun Liu1, *
1Sanda University, Shanghai, 201209, China
*Corresponding author. Email: liuyunfd@163.com
Corresponding Author
Yun Liu
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_41How to use a DOI?
Keywords
net-generated documentary; big data; production and operation
Abstract

Relying on the application and analysis of big data technology, the current mainstream video platforms have opened up a new situation for producing and marketing online documentaries. The video platforms take big data as the guide, boutique production of online documentary content, relying on big data accurate user profiling, grasping the market trend of online documentary, laddering, differentiated layout to meet the needs of different online documentary user groups, diversified exploration of online documentary selection resources. With the support of big data, The video platforms optimize the operation strategy of an online documentary, solve the problem of "financing difficulty", dig deep into the category of an online documentary, promote the development of high-quality content and content upgrading of an online documentary, and make use of the big data to accurately network marketing, advertise the potential customer groups, and generate new marketing products. The technical mining and information integration and analysis functions of big data have promoted the quality development of online documentaries and rewritten the development direction of domestic documentary production and marketing path.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_41How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yun Liu
PY  - 2023
DA  - 2023/10/27
TI  - The Production and Operation Path of Net-generated Documentary High-Quality Development Based on Big Data
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 375
EP  - 385
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_41
DO  - 10.2991/978-94-6463-276-7_41
ID  - Liu2023
ER  -