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.
