AI case study

Reed.co.ukJob search

Keyword matching confused titles with reporting lines. Vector embeddings now capture intent, matching concepts rather than exact strings.

Published|1 year ago

Key results

Cost-Per-Hire Reduction
20%
Completion Rate Increase
30%
Click-Through Rate Increase
20%

Result highlights

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The story

Context

The UK's largest online job site connects 11 million registered candidates with 30,000 recruiters, enabling applications for nearly 100,000 roles daily.

Challenge

Pure keyword matching struggled with nuance, often confusing a role's reporting line with the job title itself. The search team also faced the...

Solution
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Quotes

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The company

Reed.co.uk logo

Reed.co.uk

reed.co.uk

Job board and recruitment platform for UK employment and career courses.

IndustrySoftware & Platforms
LocationLondon, ENG, UK
Employees251-1K
Founded1995

The AI provider

Search AI platform for enterprise search, observability, and security solutions.

IndustrySoftware & Platforms
LocationMountain View, CA, USA
Employees1K-5K
Founded2012

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