Developing Intelligent Blockchain For The Distributed Ranking System Based On Automated User Credit Evaluation

• Main Authors: Hsu, Yu-Hsiang, 許鈺享
• Other Authors: Chen, An-Pin
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/5jz37g

碩士 === 國立交通大學 === 資訊管理研究所 === 106 === In recent years, we have been focusing on the development of blockchain technology. Not only financial industry but also other applications know the importance of blockchain. And now most of the blockchain applications use as decentralized databases, so we want to make the blockchain technology to a higher level - to make the blockchain intelligence. What we want to do is to make blockchain automatically calculate or think by themselves. That is also our goal of this study. In this study, we will build a distributed ranking system in blockchain to implement the blockchain intelligence. First, we design the distributed ranking system. In this system, we will calculate the credit score of every grader and use that credit score to make the ranking more accuracy. Then, we put the data set into the system to verify effect. Next is to set up a private chain of using Smart Contract to put the distributed ranking system on it. Finally, using web3.js to put all the results on the website. After the experiment, the distributed ranking system in this study not only achieves the effect of ranking optimization, but also allows the small samples use this system to optimize the ranking. Therefore, the system is moved to the self-built blockchain to let the blockchain intelligence.