🧐Reputation and Interests
A user's reputation and interests can be extracted from their online activity (digital footprint).
Reputation
The reputation of a person online consists of the data tagged to the person that represents the skillset and capabilities of that person.
![](https://docs.plurality.network/~gitbook/image?url=https%3A%2F%2F351514635-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FBMDJ9SC06J7dWtuKBrmK%252Fuploads%252FB5NVhD6XAugcDcr0pGsz%252Freputation.png%3Falt%3Dmedia%26token%3D6af46600-d0e2-448a-a8dd-a3f672166e7e&width=768&dpr=4&quality=100&sign=b67fb9d6&sv=1)
Some examples of reputation are:
The DAOs you have been a part of and for whom you have voted on-chain
The information on the LinkedIn profile represents the skill set of the profile owner
The videos produced on YouTube or LivePeer represent the kind of content the profile owner has mastery over
The questions and answers posted on StackOverflow represent the skill level of a developer on a certain technology
The code commits on GitHub represent the tech stack expertise of the profile owner
The portfolio on Behance or the NFTs held by a person shows the design sense of a designer
The research papers and H-Index show the quality of research of a researcher
The amazon seller ratings of a seller show the quality of product and service of a seller
etc.
Interest
The interests of a person can be extracted from the type of consumed content. Some examples of how interests can be extracted are:
The token-gated communities user is a part of
Topics of pages liked on Facebook
Influencers followed on Instagram
People followed on Lens or Farcaster
Subreddits joined on Reddit
Search history on YouTube
Created playlists on SoundCloud
Pinned images on Pinterest
Channels joined on Discord
etc.
Overall, for any platform to reduce noise and curate user experiences, both the reputation and interests need to be taken into account.
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