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Web3 Foundation: Recommending Validators Using an Active Learning Algorithm | Polkadot Decoded 2022
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Speaker: Jonas Gehrlein, Web3 Foundation.
Presentation summary:
We all know the problem: After bonding your DOT, you need to select validators to nominate. This is a tough decision, as you want to make sure your stake is safe, produces good returns, helps decentralization, and is active upcoming eras. But, how to find those candidates?
We developed an advanced active learning algorithm that provides individual recommendations to nominators. We test its validity in an experiment, as one of the first scientific studies ever funded by the Polkadot Treasury.
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Presentation summary:
We all know the problem: After bonding your DOT, you need to select validators to nominate. This is a tough decision, as you want to make sure your stake is safe, produces good returns, helps decentralization, and is active upcoming eras. But, how to find those candidates?
We developed an advanced active learning algorithm that provides individual recommendations to nominators. We test its validity in an experiment, as one of the first scientific studies ever funded by the Polkadot Treasury.
⎼⎼⎼⎼⎼⎼⎼
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