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Meningkatkan hasil penelusuran lowongan menggunakan ML dan Talent Solution
Halaman ini menunjukkan cara meningkatkan hasil penelusuran menggunakan Cloud Talent Solution,
machine learning (ML), dan data peristiwa klien.
Cloud Talent Solution adalah layanan yang menghadirkan machine learning ke pengalaman penelusuran lowongan Anda, yang akan memberi pencari kerja akses ke hasil berkualitas tinggi yang jauh melampaui batasan metode berbasis kata kunci standar. CTS langsung menerapkan model relevansi dan ontologi pekerjaan/keterampilan
ke detail lowongan Anda. Anda dapat meningkatkan hasil yang ditampilkan kepada pencari kerja dengan mencatat peristiwa klien
berdasarkan aktivitas pencari kerja.
Ada dua metode untuk memanfaatkan fitur ini, keduanya diuraikan dalam panduan memulai ini. Sebaiknya gunakan metode API createClientEventRequest, yang mengabaikan tantangan autentikasi saat mengirim pesan ke Cloud Talent Solution menggunakan Cloud Pub/Sub dan menyediakan kumpulan API yang bersih untuk menerapkan framework analisis.
Anda akan mulai memublikasikan data peristiwa klien pada akhir tutorial.
Merekam peristiwa klien menggunakan createClientEventRequest (direkomendasikan)
Saat pencari kerja melakukan tindakan
tertentu, Anda dapat menggunakan API untuk merekam tindakan tersebut. Misalnya, pencari kerja
atau entitas lain yang berinteraksi dengan layanan telah memiliki lowongan
(atau daftar lowongan) yang dirender dalam tampilan mereka, seperti dalam daftar hasil penelusuran
dalam format yang dikompresi atau terpotong. Dalam hal ini, Anda dapat mengirim peristiwa IMPRESSION
ke Cloud Talent Solution untuk memberikan konteks hasil penelusuran dan apa yang
dapat dilihat pencari kerja. Selain itu, saat pencari kerja mengklik hasil lowongan untuk melihat
deskripsi lowongan lengkap, Anda dapat mengirim peristiwa VIEW untuk mendaftarkan minat
pencari kerja ini pada posisi ini.
Penggunaan
Contoh berikut mengilustrasikan cara mengirim pesan ke Cloud Talent Solution
menggunakan API. Pencari kerja atau entitas lain yang berinteraksi dengan layanan
telah memiliki lowongan (atau daftar lowongan) yang dirender dalam tampilan mereka, seperti dalam daftar
hasil penelusuran dalam format yang dikompresi atau terpotong. Peristiwa ini biasanya
terkait dengan tampilan daftar lowongan di satu halaman oleh pencari kerja.
Buka Jenis Peristiwa untuk mengetahui listingan lengkap jenis peristiwa yang tersedia.
Merekam permintaan peristiwa klien menggunakan Cloud Pub/Sub
Persyaratan
Untuk memublikasikan pesan pubsub, Anda harus memublikasikan pesan HANYA ke project p-jobs dan topik cloud-jobs-events.
Semua pesan pubsub yang tidak berisi requestId akan dihapus.
Tutorial ini membahas petunjuk integrasi untuk membuat klien penayang, memublikasikan peristiwa klien melalui Cloud Pub/Sub, dan melakukan pembersihan. Kami mendemonstrasikan
integrasi dengan memandu aplikasi Cloud Talent Solution menggunakan kode Java,
yang berfokus pada penjelasan cara melakukan panggilan ke Cloud Talent Solution, bukan
menjelaskan library klien Java.
Memublikasikan data peristiwa klien ke Cloud Talent Solution
Bagian ini akan memandu Anda memublikasikan data peristiwa klien ke Cloud Talent Solution, yang dapat digunakan untuk meningkatkan relevansi bagi kebutuhan bisnis dan pencari kerja tertentu.
Ikuti Panduan Penayang Google Cloud Pub/Sub
untuk memublikasikan pesan ke Cloud Talent Solution.
Pastikan pesan yang sebenarnya dikirim mengikuti pola seperti yang dijelaskan di bawah.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[],[],null,["Improve job search results using ML and Talent Solution\n=======================================================\n\nThis page shows you how to improve search results by using Cloud Talent Solution,\nmachine learning (ML), and client event data.\n\n[Cloud Talent Solution](/talent-solution/job-search/v3) is a service that brings machine learning to your job search experience, returning high quality results to job seekers far beyond the limitations of typical keyword-based methods. Right out of the box, CTS applies relevance models and job/skill\nontologies to your job details. You can improve the results returned to job seekers by recording client events\nbased on the activity of the job seeker.\n\nThere are two methods for leveraging this feature, both outlined in this quickstart. We recommend that you use the `createClientEventRequest`\nAPI method, which bypasses the authentication challenges of sending messages to Cloud Talent Solution\nusing [Cloud Pub/Sub](/pubsub/docs) and provides a clean set of APIs\nto implement the [analytics framework](/talent-solution/job-search/v3/docs/improve-job-search-results-ml).\n\nYou'll begin publishing client event data by the end of the tutorial.\n\nRecord client events using `createClientEventRequest` (recommended)\n-------------------------------------------------------------------\n\nWhen a job seeker performs a specific\naction, you can use the API to record that action. For example, the job seeker\nor other entity interacting with the service has had a job\n(or a list of jobs) rendered in their view, such as in a list of search results\nin a compressed or clipped format. In this case you can send an IMPRESSION event\nto Cloud Talent Solution to provide the context of the search results and what a\njob seeker can see. Further, when the job seeker clicks on a job result to view\nthe full job description, you can send a VIEW event to register the interest of\nthis job seeker in this position.\n\n### Usage\n\nThe following example illustrates how to send a message to Cloud Talent Solution\nusing the API. The job seeker or other entity interacting with the service\nhas had a job (or a list of jobs) rendered in their view, such as in a list of\nsearch results in a compressed or clipped format. This event is typically\nassociated with the viewing of a jobs list on a single page by a job seeker.\n\nPlease visit [Event Types](/talent-solution/job-search/v3/docs/client-event#EventType)\nfor a full listing of available event types.\n\nRecord client event requests using Cloud Pub/Sub\n------------------------------------------------\n\n### Requirements\n\nIn order to publish pubsub messages it is required that you publish messages **ONLY** to the\nproject `p-jobs` and the topic `cloud-jobs-events`.\n\n*Any pubsub message that does not contain a requestId is dropped.*\n\nBefore you begin\n----------------\n\nYou have:\n\n- set up a [Cloud Talent Solution project](/talent-solution/job-search/v3/docs/before-you-begin) in the Google Cloud Platform Console,\n- [created companies and jobs](/talent-solution/job-search/v3/docs/create-company-job) and have successfully [searched](/talent-solution/job-search/v3/docs/quickstart-searching) for your jobs,\n- installed the [Cloud Pub/Sub client library](/pubsub/docs/reference/libraries),\n\n- set up your environment using\n [Application Default Credentials](https://developers.google.com/identity/protocols/application-default-credentials),\n\n- enabled the [Google Cloud Pub/Sub API](https://console.cloud.google.com/apis/library/pubsub.googleapis.com)\n on your Google Cloud Project,\n\n- basic familiarity with Java programming.\n\n| **Note:** Critical in the above list is setting the environment variable [`GOOGLE_APPLICATION_CREDENTIALS`](/talent-solution/job-search/v3/docs/libraries#setting_up_authentication) to the path of the credentials file created when setting up the service account. See the [Cloud Pub/Sub](/pubsub/docs/publisher#publish-messages-to-a-topic) documentation for more information on how to publish data to a project and topic.\n\nThis tutorial covers the integration instructions to create a publisher client,\npublish client events through Cloud Pub/Sub, and clean up. We demonstrate\nthe integration by stepping through a Cloud Talent Solution application using Java code,\nthat focuses on explaining how to make calls to Cloud Talent Solution, rather than\nexplaining the Java client libraries.\n\n### Publish client event data to Cloud Talent Solution\n\nThis section walks you through publishing client event data to\nCloud Talent Solution, which can be used to improve relevance for your specific\nbusiness and job seeker needs.\n\nFollow the Google Cloud Pub/Sub [Publisher Guide](/pubsub/docs/publisher#publish-messages-to-a-topic)\nto publish messages to Cloud Talent Solution.\n| **Note:** The project-id (`p-jobs`) and topic-id (`cloud-jobs-events`) are automatically created for you to publish messages to. Ensure that all messages are only published to this project and topic. You don't have permission to list topics, or perform any action apart from publishing to this project and topic.\n\nCheck that the actual messages sent follow the pattern as described below.\n\n### Sample messages\n\n#### IMPRESSION event\n\n### JSON\n\n```text\n {\n \"eventId\": \"857523730h91wrgkih9qpl12z8bf\",\n \"eventType\": \"IMPRESSION\",\n \"requestId\": \"8d2bdd5d-1361-42a5-a0fd-bd2b58b7d8fb:APAb7ISd4Sc5faibw2V5hTU/OoC2WAW5AA==\",\n \"relatedJobNames\": [\n \"jobs/4000000000\",\n \"jobs/4000000001\"\n ],\n \"eventTimestampMillis\": 1518200614309,\n }\n \n```\n\n\u003cbr /\u003e\n\n#### VIEW event\n\n### JSON\n\n```text\n {\n \"eventId\": \"9q9wa69qgfx1q1xzwn3zo25z\",\n \"eventType\": \"VIEW\",\n \"requestId\": \"248pla4w-8wpl-87rt-15rt-430ue8u541m8\",\n \"relatedJobNames\": [\n \"jobs/8000000000\",\n \"jobs/8000000001\"\n ],\n \"eventTimestampMillis\": 1518200617426,\n }\n \n```\n\n\u003cbr /\u003e\n\n### Verify implementation using the Cloud Talent Solution management tools\n\nCloud Talent Solution provides users of the API with tools to verify your\nimplementation by providing you with [self service tools](https://console.cloud.google.com/job-discovery/overview).\n\nTo learn more about the self service tools, see [Cloud Talent Solution management tools](/talent-solution/docs/management-tools).\n\nWhat's next\n-----------\n\n[Improve pre-trained model with client event data](/talent-solution/job-search/v3/docs/events)."]]
