Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022)

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News Communication Recommendation Technology Based on LDA Model Improvements and Online Reviews

Authors
Xiujuan Tian1, *
1College of Modern Economics and Management JUFE, Gongqing, 332020, Jiangxi, China
*Corresponding author. Email: zhc010314@163.com
Corresponding Author
Xiujuan Tian
Available Online 17 December 2022.
DOI
10.2991/978-94-6463-046-6_39How to use a DOI?
Keywords
LDA Model; Correlation Degree Calculation; Potential Recommendation Model
Abstract

The cosine distance calculation method can effectively calculate the correlation degree of the news communication characteristics based on online comments, while the LDA model can set the threshold of the correlation degree, so as to predict the news emergencies through the subsequent news communication characteristics. In addition, select the largest user group and calculate the characteristic word weights of the user group, you can get the news communication recommendation results. Of course, it also needs to use the LDA model to input the user group feature word weights in the LDA model through the LDA model. Finally, simulation experiments demonstrate that the coverage of news communication recommendation techniques based on online reviews and improved LDA models is better than traditional news communication recommendation techniques.

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 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022)
Series
Advances in Computer Science Research
Publication Date
17 December 2022
ISBN
978-94-6463-046-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-046-6_39How 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  - Xiujuan Tian
PY  - 2022
DA  - 2022/12/17
TI  - News Communication Recommendation Technology Based on LDA Model Improvements and Online Reviews
BT  - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022)
PB  - Atlantis Press
SP  - 327
EP  - 333
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-046-6_39
DO  - 10.2991/978-94-6463-046-6_39
ID  - Tian2022
ER  -