Hugs
  • Introduction
    • πŸ’What is Curator?
    • ⌚Why now?
    • 🚧The Problem
  • The Hugs Layer
    • πŸ“„Overview
    • πŸ“±Multi dApp layer
    • πŸ—οΈWhy build on Curator?
    • βœ…Reviewer System
    • ⭐On-Chain Reputation
      • πŸ…User Reputation
      • πŸ‘¨β€πŸ’ΌClient Reputation
      • πŸ’―Reputation Scoring
      • βš–οΈQuantity Scoring
      • 🌟Quality Scoring
      • 🏷️The Quality Label
    • πŸ’°User Rewards
      • 1️⃣Elastic Reward Pool
      • 1️⃣Secondary Rewards
  • The Hugs Token ($HUGS)
    • πŸ«‚$HUGS - Overview
    • πŸ› οΈToken Utilities
    • πŸ“ŠToken Allocation
    • πŸ“€Token Vesting
  • The Hugs Roadmap
    • #️Overview
    • 1️Curator engine
    • 2️Curator ToolKit
    • 3️Dashboards
    • 4️Perpetual Test Apps
    • 5️Elastic Rewards
    • 6️Advanced Tooling
  • In-house Built Apps
    • 🏠In-house built apps - Overview
    • πŸ’ΈEARN - Staking Overview
    • 🎯HugBunters - Find Errors
  • Hugs Project info
    • πŸ‘½Core Team
    • πŸ“˜Glossary
    • πŸ‘©β€πŸ’ΌDisclaimer
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On this page
  • Stakeholder-specific Scoring
  • Contributors
  • Reviewers
  • Clients
  • Calculating the Quality Score
  1. The Hugs Layer
  2. On-Chain Reputation

Quality Scoring

Scoring through Consensus and Feedback

Stakeholder-specific Scoring

The Quality Score is based on the quality of contributions from the specific user. Depending on the role of the user, this has a slightly different meaning.

Contributors

For contributors the Quality Score is based on the feedback of Reviewers and Clients.

Reviewers

For Reviewers the Quality Score is based on the reviewer consensus and the feedback of Clients.

  • If the reviewer consensus agrees with the individual reviewer this results in a positive quality score and vice versa

  • If the client feedback corresponds with the reviewer feedback this results in a positive quality score and vice versa

Clients

The Client Quality Score is based on the comparison between client feedback and reviewer consensus.

  • If the client feedback corresponds to the reviewer consensus, this results in a positive quality score and vice versa.

Calculating the Quality Score

The Quality Score is calculated using an Exponential Moving Average, similar to the Quantity Score. The EMA is based on the values Fi Î {0,1} which indicate negative and positive quality scores for the scenario’s described above.

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Last updated 2 years ago

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