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- W3208476891 abstract "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." @default.
- W3208476891 created "2021-11-08" @default.
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- W3208476891 date "2021-09-01" @default.
- W3208476891 modified "2023-09-28" @default.
- W3208476891 title "User-Customized News Service by use of Social Network Analysis on Artificial Intelligence & Bigdata" @default.
- W3208476891 doi "https://doi.org/10.7236/ijasc.2021.10.3.131" @default.
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