In the reputation system, our initial thoughts hope to incorporate off-chain data to get closer to the actual market. This is only a preliminary outline, I think further thinking is needed.But first, it should include factors such as the success rate of transactions on the chain and the stability of miners.
Index | Description | |
---|---|---|
1 | Evaluation after deal | Both sides of the transaction evaluate each other after completing the order |
2 | Zhima Credit | https://gw.alipayobjects.com/os/rmsportal/nGVZldPeZtcyBkbhojbi.pdf |
3 | Real name authentication | For users who have completed real name authentication, the score will be increased, |
4 | Third party application account binding | For example, GitHub, wechat,The longer the registration time, the higher the score |
5 | Fulfill the agreement in matchup system | For users who have fulfilled the agreement in matchup system, the score will be increased. On the other hand , the users who break an agreement in matchup system, the score will decrease. |
6 | Number of transactions and success rate | The more transactions, the higher the success rate and the higher the score |
7 | Registration time of matchup system | The longer the registration time, the higher the score |
8 | The dispersion for deals | The more dispersed the deal partners, the higher the score |