Membuat dan mengelola konfigurasi penayangan media
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Halaman ini menjelaskan konfigurasi penayangan untuk aplikasi rekomendasi media dan cara
membuat, mengedit, dan menghapusnya. Konfigurasi penayangan berisi konfigurasi
yang digunakan saat membuat hasil rekomendasi media Anda.
Tentang konfigurasi inferensi
Konfigurasi penayangan dirujuk pada waktu penayangan untuk menentukan rekomendasi apa yang akan dihasilkan.
Saat aplikasi Vertex AI Search dibuat, konfigurasi penayangan default juga akan otomatis dibuat.
Untuk aplikasi rekomendasi, ID konfigurasi penayangan sama dengan ID mesin.
Untuk aplikasi penelusuran, ID konfigurasi penayangan default adalah
default_search.
ID konfigurasi penayangan default ditentukan saat melakukan panggilan API
recommend atau search.
Namun, aplikasi rekomendasi penelusuran dan kustom tidak memungkinkan Anda mengubah konfigurasi penayangan atau membuat konfigurasi penayangan tambahan. Hanya aplikasi rekomendasi media yang memiliki konfigurasi penayangan yang dapat diubah dan memungkinkan beberapa konfigurasi penayangan.
Untuk aplikasi rekomendasi media apa pun, Anda dapat membuat beberapa konfigurasi penayangan dengan setelan yang berbeda untuk peningkatan/penguburan, penurunan, dan keragaman rekomendasi.
Untuk mendapatkan rekomendasi dari konfigurasi penayangan tertentu dengan setelan promosi/penyembunyian, penurunan, dan keragaman yang Anda butuhkan, tentukan ID konfigurasi penayangan tersebut dalam permintaan recommend.
Setelan konfigurasi penayangan
Setelan berikut tersedia untuk konfigurasi penayangan:
Peningkatan/penyembunyian rekomendasi. Anda dapat meningkatkan atau menyembunyikan rekomendasi media berdasarkan
filter dan nilai peningkatan. Untuk mengetahui informasi tentang cara mempromosikan dan menyembunyikan rekomendasi media, lihat artikel Mempromosikan dan menyembunyikan rekomendasi media.
Penurunan rekomendasi. Anda dapat menurunkan rekomendasi media berdasarkan
data penonton atau usia konten. Untuk mengetahui informasi tentang setelan penurunan promosi dan cara
menyetelnya, lihat Menurunkan promosi rekomendasi media.
Keragaman rekomendasi. Anda dapat mendiversifikasi rekomendasi untuk mengurangi kemungkinan konten serupa ditampilkan di panel rekomendasi. Untuk
informasi tentang setelan diversifikasi dan cara menyetelnya, lihat
Mendiversifikasi rekomendasi media.
Membuat konfigurasi inferensi
Untuk membuat konfigurasi penayangan, ikuti langkah-langkah berikut:
Di konsol Google Cloud , buka halaman AI Applications.
[[["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 2025-08-19 UTC."],[[["\u003cp\u003eServing configs determine how media recommendations are generated and are referenced during serving time.\u003c/p\u003e\n"],["\u003cp\u003eWhile a default serving config is automatically created for each Vertex AI Search app, only media recommendation apps allow for the creation and modification of multiple serving configs.\u003c/p\u003e\n"],["\u003cp\u003eMedia recommendation serving configs can be customized with settings for boosting/burying, demotion, and diversity, which affect the recommendations provided.\u003c/p\u003e\n"],["\u003cp\u003eYou can create, edit, and delete serving configs for media recommendation apps via the Google Cloud console, under the Agent Builder page and the app's configurations tab.\u003c/p\u003e\n"],["\u003cp\u003eTo obtain recommendations tailored to specific settings, you must specify a serving config's ID in the \u003ccode\u003erecommend\u003c/code\u003e request.\u003c/p\u003e\n"]]],[],null,["# Create and manage media serving configs\n\nThis page describes serving configs for media recommendation apps and how to\ncreate, edit, and delete them. A serving config contains configurations\nthat are used when generating your media recommendations results.\n\nAbout serving configs\n---------------------\n\nServing configs are referenced at serving time to determine what recommendations\nto generate.\n\nWhen any Vertex AI Search app is created, a default serving config is\nalso automatically created.\nFor recommendations apps, the serving config's ID is the same\nas the engine ID.\nFor search apps, the default serving config's ID is\n`default_search`.\nThe default serving config ID is specified when making\n`recommend` or `search` API calls.\n\nHowever, search and custom recommendations apps don't allow you to\nmodify serving configs or create additional serving configs. Only media\nrecommendation apps have modifiable serving configs and allow multiple serving\nconfigs.\n\nFor any media recommendations app, you can create multiple serving configs with\ndifferent settings for recommendations boost/bury, demotion, and diversity.\nTo get recommendations from a specific serving config with the boost/bury,\ndemotion, and diversity settings that you need, specify that serving config's ID\nin the `recommend` request.\n\nServing config settings\n-----------------------\n\nThe following settings are available for serving configs:\n\n- **Recommendation boost/bury** . You can boost or bury media recommendations based on\n a filter and boost value. For information about boosting and burying media\n recommendations,\n [Boost and bury media recommendations](/generative-ai-app-builder/docs/media-recommendations-boost-bury).\n\n | **Note:** Boost/bury controls can only be created through the API. They can't be created using Google Cloud console.\n- **Recommendation demotion** . You can demote media recommendations based on\n viewer data or content age. For information about demotion settings and how to\n set them, see [Demote media recommendations](/generative-ai-app-builder/docs/demote-recommendations).\n\n- **Recommendation diversity** . You can diversify recommendations to reduce the\n likelihood that similar content is shown in a recommendation panel. For\n information about diversification settings and how to set them, see\n [Diversify media recommendations](/generative-ai-app-builder/docs/diversify-recommendations).\n\nCreate a serving config\n-----------------------\n\nTo create a serving config, follow these steps:\n\n1. In the Google Cloud console, go to the **AI Applications** page.\n\n [AI Applications](https://console.cloud.google.com/gen-app-builder/engines)\n2. Click the name of the app for which you will create a serving config.\n\n3. Go to the **Configurations** \\\u003e **Serving** tab.\n\n4. Click **Create new serving config**.\n\n5. Enter a name for your serving config.\n\n6. Set configurations for recommendations:\n demotion and diversity.\n\n \u003cbr /\u003e\n\n For more information about these settings, see [Demote media\n recommendations](/generative-ai-app-builder/docs/demote-recommendations), and [Diversify media\n recommendations](/generative-ai-app-builder/docs/diversify-recommendations).\n7. Click **Save and publish**.\n\nEdit a serving config\n---------------------\n\nTo edit a serving config, follow these steps:\n\n1. In the Google Cloud console, go to the **AI Applications** page.\n\n [AI Applications](https://console.cloud.google.com/gen-app-builder/engines)\n2. Click the name of the app whose serving config you want to edit.\n\n3. Go to the **Configurations** \\\u003e **Serving** tab.\n\n4. If you have more than one serving config, click the name of the serving\n config that you want to edit.\n\n5. Update your configurations for recommendation demotion or\n diversity.\n\n For more information about these settings, see\n [Demote media recommendations](/generative-ai-app-builder/docs/demote-recommendations) and\n [Diversify media recommendations](/generative-ai-app-builder/docs/diversify-recommendations).\n\n \u003cbr /\u003e\n\n6. Click **Save and publish**.\n\nDelete a serving config\n-----------------------\n\nYou can delete a serving config only if you have multiple serving configs.\n\nTo delete a serving config, follow these steps:\n\n1. In the Google Cloud console, go to the **AI Applications** page.\n\n [AI Applications](https://console.cloud.google.com/gen-app-builder/engines)\n2. Click the name of the app whose serving config you will delete.\n\n3. Go to the **Configurations** \\\u003e **Serving** tab.\n\n4. For the serving config you that want to delete, click\n more_vert, and then click **Delete**.\n\n5. In the confirmation dialog, type the name of the serving config to delete,\n and then click **Confirm**."]]
