Cloud Talent Solution documentation
Job Search
Cloud Talent Solution is a service that brings machine learning to the job search experience, returning high quality results to job seekers far beyond the limitations of typical keyword-based methods. Once integrated with your job content, Cloud Talent Solution automatically detects and infers various kinds of data, such as related titles, seniority, and industry. In addition to the underlying search technology, Cloud Talent Solution includes several built-in features, such as:
- Indexed jobs using structured fields to better represent the job content.
- Preferred mode of transit search for jobs by commute time.
- Histogram counts of jobs across different facets.
- Showcased featured/sponsored jobs.
- Passive job seeker result optimization for email alerts.
- Job searches in multiple languages.
- Suggested autocompletion titles for companies and jobs specifically open in your corpus of jobs.
- Spelling correction, company jargon recognition, job enrichment, and more.
Cloud Talent Solution is a RESTful service, and offers client libraries in several languages (always expanding) that can be used to leverage the underlying services.
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Documentation resources
Related videos
Beta preview for version 4
We're excited to share a preview of version 4 of the Job Search API. This is just a beta preview so everything is subject to change. That being said, there's some cool stuff coming up so let's dive into it! Resources: Tenants basics →
Search relevance
In the previous video, we searched the Cloud Talent Solution Job Search API to see what results popped up in a job search. In this video, we discuss how you can influence search relevance significantly by providing more information and using custom
Job search
In the previous video, we set up jobs and companies using the Google Cloud Talent Solution Job Search API. In this video, we search the API and see what results come up! Search overview → https://goo.gle/2lBsEMd RequestMetadata →
Working with jobs
In the previous video, we discussed creating, updating, and deleting companies using Google Cloud Talent Solution Job search API. In this video, we share how to create jobs and best practices for working with them. Working with jobs →
Working with companies
In the previous video, we set up everything to start using the Google Cloud Talent Solution Job Search API and created a company. In this video, we dive deeper into creating, updating, and deleting companies. Create and update companies →
Start using the Job Search API
When working with a job search service, artificial intelligence can improve the experience of your candidates and employers. In this episode of Cloud Talent Solution, let's write some code and start working with the API! Creating a GCP project:
Configuration Options and Best Practices
In the previous video, Jenny Brown discussed major ways to configure and tweak the results that come back from the job search API. In this video, she shares simpler configuration options such as page size and setting the job location, along with best
Featured Jobs and Custom Ranking
In the previous video, Jenny Brown covered two parameters that can be applied and tested when making a search request. In this episode, she discusses two additional options that can be used to further refine job search results - featured jobs and
Best Practices for Search Results
In this video, Jenny Brown takes a deeper look into configuring search results from the Job Search API by looking at two applicable configuration parameters when making a search request. Cloud Talent Solution overview → https://bit.ly/2BQRkFW Cloud
Implementing the Job Search API
Google’s Cloud Talent Solution leverages machine learning and creates a better job search experience. In this video, Jenny Brown explains the best ways to implement the Cloud Talent Solution Job search API and planning details. Cloud Talent Solution