WinterMilestone 4 inceptionTRACTRICOID

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Revision as of 18:20, 7 February 2016 by Saynaparsi (Talk | contribs) (Current Problems)

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Categorization for differentiation

Current Problems

Worker Side

  1. Workers are not able to find the job that matches their skills
  2. it is difficult for them to differentiate themselves from other workers with same rating but different skillset.
  3. There is no way other than being rejected for them to gain feedback from requesters about their performance

Requester Side

  1. Tasks are vulnerable to noisy labels introduced either unintentionally by unreliable workers or intentionally by spammers and malicious worker.
  2. Difficulty in recruiting the right talent.
  3. The reliability or reputations of the workers are often unknown

Labeling tasks

  • It is time consuming and difficult for workers to find the tasks that match their talents.

Imagine John as a worker who wants to choose a job between job A and job B, B pays higher than A so John decides to choose job B. John does not know that he doesn’t have the skills required for the task B and job A is something he could easily do in a short time. He ends up spending a lot of time on doing task B, and doesn’t do it very well so his work gets rejected. This is an example of how easily knowing the required skills for a job can help workers find the right task to do.

  • Categorizing jobs for suggestions

Labeled tasks are very easy to work with when it comes to showing suggestions to workers. We can understand a workers interest and skills based on the tasks they do and how well they perform them so it makes it a lot easier to suggest the right task to person with matching skills.

Endorsing worker skills


Related Work


Important Points




Milestone Contributor