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Web3 Foundation: Recommending Validators Using an Active Learning Algorithm | Polkadot Decoded 2022

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  • čas přidán 5. 07. 2022
  • Speaker: Jonas Gehrlein, Web3 Foundation.
    POLKADOT DECODED is a virtual conference for the Polkadot community, featuring talks and workshops on all things Polkadot. To learn more about the conference and to check the full program: decoded.polkadot.network/
    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.
    ⎼⎼⎼⎼⎼⎼⎼
    Learn more about Web3 Foundation at web3.foundation/ and on our social channels 👇
    Twitter: / web3foundation
    LinkedIn: / web3foundation
    ⎼⎼⎼⎼⎼⎼⎼
    Learn more about Polkadot at polkadot.network/ and on our social channels 👇
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Komentáře • 3

  • @stevenmartin6271
    @stevenmartin6271 Před 2 lety +1

    Look forward to using this :)

  • @miguelrodriguez5590
    @miguelrodriguez5590 Před 2 lety +1

    Very nice, coming from Cardano and their more than easy staking mechanism I love that polkadot approachesgood UX now. I need this algorithm very much thank you!

  • @mohamedhabas7391
    @mohamedhabas7391 Před rokem

    Very Nice explanation