Fractal

Search relevance
evaluation

Optimize your search engine performance with fast solutions for collecting human data
to improve search relevance.

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How Toloka can meet your business needs

  • Use the Toloka data labeling platform to collect explicit human judgments about the quality of your search engine
  • Understand how well your search algorithms work and compare different versions before A/B tests
  • Define your scale for graded search relevance to fit your model
  • Make important search product decisions based on human validation
  • Improve search relevance instead of optimizing for clicks

Data labeling cases to measure search relevance

Toloka supports a wide range of use cases for search relevance evaluation with human annotators

Use Toloka to get accurate offline metrics to complement your online metrics

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Success stories

10+ years of industry experience solving real-world problems.

Improved in-context predictions of product categories

Results:

1.28%

growth in GMV with improved search relevance

Read the storyRead the story
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Enhanced online
product search

Results:

40,000

search relevance tasks completed in one month for $1500

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Sports
retailer

Improved search
relevance

Results:

200% faster

with 2,000+ objects
labeled per day

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Electronics
retailer

Improved product search
results for online customers

Results:

98% quality

of final data and completed
60% faster

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Why Toloka

  • ML technologies
    • One platform to manage human labeling & ML
    • Prebuilt scalable infrastructure for training and real-time inference
    • Flexible foundation models pre-trained on large datasets
    • Automatic retraining and monitoring out of the box
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  • Diverse global crowd
    • 100+ countries
    • 40+ languages
    • 200k+ monthly active Tolokers
    • 800+ daily active projects
    • 24/7 continuous data labeling
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  • Crowdsourcing technologies
    • Advanced quality control and adaptive crowd selection
    • Smart matching mechanisms
    • 10 years of industry experience and proven methodology
    • Open-source Python library for aggregation methods
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  • Robust secure infrastructure
    • Privacy-first, GDPR-compliant focus on data protection test
    • ISO 27001-certified
    • Multiple data storage options, Microsoft Azure cloud
    • Automatic scaling to handle any volumes
    • API and open-source libraries for seamless integration
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For developers

  • API
    Our open API gives you the freedom
    to integrate directly into any pipelines
  • Python SDK
    Our Python toolkit covers all API
    functionality to give you the full
    power of Toloka
  • Java SDK
    Our Java client library provides a lightweight
    interface to the Toloka API that works
    in any Java environment

Boost your search algorithms

Let's talk about how to get the search relevance data you need.
Fractal

FAQ