Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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Research on Optimization of Personalized Dynamic Recommendation System of Knowledge Label Based on Artificial Intelligence Algorithm

Authors
Yiming Niu1, *, Wenyong Du1, Zhenying Tang1
1Customer Service Center of SGCC Tianjin, Tianjin, 300309, China
*Corresponding author. Email: 17181086148@163.com
Corresponding Author
Yiming Niu
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_54How to use a DOI?
Keywords
artificial intelligence; Knowledge labels; individualization; system optimization
Abstract

With the development of Internet, the appearance of knowledge label technology brings new opportunities for personalized recommendation. Knowledge tag connects users with resources, describes the characteristics of resources and reflects users’ interests and preferences, which brings a vital data source for personalized recommendation service. At present, the information resources on the Internet are exploding, which leads to the emergence of “information overload” and other problems. Personalized recommendation technology meets the personalized needs of people’s different interests to a certain extent. The appearance of tags enables people to label network resources freely. Knowledge tags connect users with resources, describe the characteristics of resources, reflect users’ interests and preferences, and bring vital data sources for personalized recommendation services. However, due to the individuation of knowledge tags, semantic ambiguity exists, which reduces the recommendation accuracy based on knowledge tags, greatly limits the application of tags in recommendation, and the rapid expansion of tagging reduces the recommendation efficiency.

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 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
978-94-6463-222-4
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_54How 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  - Yiming Niu
AU  - Wenyong Du
AU  - Zhenying Tang
PY  - 2023
DA  - 2023/08/28
TI  - Research on Optimization of Personalized Dynamic Recommendation System of Knowledge Label Based on Artificial Intelligence Algorithm
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 502
EP  - 508
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_54
DO  - 10.2991/978-94-6463-222-4_54
ID  - Niu2023
ER  -