Toloka | FutureHurry
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Main Purpose

Toloka is a crowdsourcing platform and microtasking project that aims to quickly markup large amounts of data, which are then used for machine learning and improving search algorithms.

Key Features

  • Simple Tasks: Toloka offers simple tasks that do not require any special training from the performer.
  • Field Tasks: Users can perform tasks related to verifying or adding information about businesses, such as adding photos, marking entrances to buildings, and checking working hours.
  • Website Evaluation: Users can check if websites match search terms or if site descriptions are accurate.
  • Video Evaluation: Users can watch videos and mark the ones that their smartphone can't play.
  • Multiple Task Completion: Toloka allows users to do multiple tasks at the same time.

Use Case

  • Data Labeling for Machine Learning: Toloka is used to label large volumes of data with positive and negative examples, which is essential for training machine learning algorithms.
  • Search Algorithm Improvement: Tasks performed on Toloka help improve search quality and effectively tune result ranking algorithms of search engines.
  • Audit and Marketing Research: Toloka can be used to check the quality of online stores, delivery services, and write reviews about products and services, allowing businesses to identify weaknesses and improve their services.
Pricing Model:

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