United StatesTechnology and telecom2017 – ongoingCareerBuilder
Machine learning job search and alerts on Cloud Talent Solution
CareerBuilder saw 18% more applications in top job categories after switching its job search to Google's machine learning
Problem
CareerBuilder ran its job search for careerbuilder.com and 4,000 client talent networks in house. Several teams spent time tuning the algorithms for relevant results, which took engineers away from other priorities.
Approach
CareerBuilder was an alpha tester of Google's Cloud Talent Solution in November 2016. It began powering searches on the talent networks in mid-2017. Since April 2018 it has served all job searches on careerbuilder.com and the mobile apps, plus email alerts for saved searches.
Results
Takeaway
Handing search relevance to an outside machine learning service freed the engineering team to work on mobile features. The company reported gains across site search, email alerts and client talent networks.
Categories
- Industry
- Technology and telecom
- Business function
- Marketing and sales
- Innovation type
- Product and service innovation
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Google Cloud's customer story describes how CareerBuilder moved its job search from an in-house system to Cloud Talent Solution. It reports 18% more applications in top job categories, a 15% lift in alert click-through, 41% more expressions of interest from saved search alerts and 40% more job views across talent networks. The page carries no date; the Internet Archive first saved it on April 16, 2019.
Full details are in the original sources.