Cloud Talent Solution 支持三个组织层级。上传到 CTS 的所有数据都归您在 Google Cloud中创建的项目所有。这些数据也可以分配给一个或多个租户,即项目和数据级层之间的中间组织层。租户为客户端和机器学习训练模型实施数据隔离,例如,在单个 API 调用中无法针对不同租户查询数据。当您为多个客户提供服务,并且不希望在他们之间共享数据,但仍希望使用同一项目在内部进行结算和报告时,为该项目设置多个租户非常有用。例如:
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-18。"],[],[],null,["# Job Search basics\n\nCloud Talent Solution (CTS) - Job Search is designed to transform\nthe recruiting and talent acquisition industry by powering your job search and\ncandidate matching solutions with built-in Machine Learning (ML) algorithms.\nCTS - Job Search is designed to be integrated with your\nexisting job search site. Your site may belong to any of four basic use cases:\n\n1. **Job boards** (returns a list of jobs to job seekers)\n2. **Career site providers** (provides career site services to client companies)\n3. **Staffing agencies** (provides short- or long-term employees to clients)\n4. **Applicant tracking systems** (tracks applicants throughout the hiring process)\n\nBusiness goals and metrics vary significantly between companies. Job Search\nis designed to be customizable, so you can modify API performance based on your\nneeds. The [best practices](/talent-solution/job-search/docs/best-practices),\n[implementation guide](/talent-solution/job-search/docs/implementation),\nand [launch checklist](/talent-solution/job-search/docs/best-practices)\ndocumentation is intended to guide you through factors that you need to consider\nwhen setting up the Job Search to meet your specific goals.\n\nHow the Job Search works\n------------------------\n\nCTS - Job Search enables you to leverage Google's Machine Learning\n(ML) technology within your own website. You send a list of jobs and companies\nto CTS, which stores them and indexes them into a searchable form. It uses\na pre-trained ML model with your provided data to return relevant search results.\nYou can then render the API output to your company site as viewable results.\nAs soon as Job Search is integrated with your system your users will\nbegin seeing high quality search results immediately.\n\nMulti-tenancy\n-------------\n\nCloud Talent Solution supports three organizational tiers. All data uploaded to\nCTS is owned by a project that you create in Google Cloud. Optionally,\ndata can be assigned to one or more **tenants**, a middle organizational layer\nbetween the project and data levels. A tenant enforces data isolation for\nthe client (for example, data can't be queried across more than one tenant\nin a single API call) as well as machine learning training models. Setting up\nmultiple tenants in a single project is useful for situations where you are\nsupporting more than one customer and don't want to share data between them, but\nwould like to use the same project for billing and reporting internally. For\nexample:\n\n- Job site providers building job sites for organizations with multiple subsidiary companies.\n- Hiring agencies building applicant tracking systems for multiple businesses.\n\nTo learn more about multi-tenancy, see the\n[Best Practices](/talent-solution/job-search/docs/best-practices#multi-tenancy_optional)\ndocumentation.\n\nImplementing Job Search\n-----------------------\n\nFor more information on implementing Job Search in your UI, see our\n[implementation guide](/talent-solution/job-search/docs/implementation)."]]