Earticle

초록

영어

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

목차

Abstract
1. INTRODUCTION
2. RELATED WORKS
2.1 Aspect of Fake News
2.2 Misuse of Social Network Service
3. THE MODEL FOR USER-CUSTOMIZED NEWS SERVICE ON SOCIAL NETWORK ANALYSIS
3.1 Architecture of the System
3.2 Notion of the Proposed System
4. THE DESIGN OF USER-CUSTOMIZED NEWS SERVICE ON SOCIAL NETWORK ANALYSIS
4.1 Detailed Design of the Parts
4.2 Detailed Design of the Specifications
5. CONCLUSIONS
Acknowledgement
References

키워드

저자

• Jangmook KANG [ Prof., Dept. of Hacking & Security, Far East Univ., Korea ]
• Sangwon LEE [ Prof., Dept. of Computer & Software Engineering, Wonkwang Univ., Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380