이 페이지에서는 미디어 추천 앱의 서빙 구성과 이를 생성, 수정, 삭제하는 방법을 설명합니다. 서빙 구성에는 미디어 추천 결과를 생성할 때 사용되는 구성이 포함되어 있습니다.
서빙 구성 정보
생성할 추천을 결정하기 위해 서빙 시에 서빙 구성을 참조합니다.
Vertex AI Search 앱이 생성되면 기본 서빙 구성도 자동으로 생성됩니다.
추천 앱의 서빙 구성 ID는 엔진 ID와 동일합니다.
검색 앱의 기본 서빙 구성 ID는 default_search입니다.
기본 서빙 구성 ID는 recommend 또는 search API를 호출할 때 지정됩니다.
하지만 검색 및 맞춤 추천 앱에서는 서빙 구성을 수정하거나 추가 서빙 구성을 만들 수 없습니다. 미디어 추천 앱에서만 수정 가능한 서빙 구성을 사용할 수 있으며 여러 서빙 구성을 허용합니다.
미디어 추천 앱의 경우 추천 부스팅/숨기기, 순위 내리기, 다각화에 대한 다양한 설정을 통해 여러 가지 서빙 구성을 만들 수 있습니다.
자신에게 필요한 부스트/매장, 순위 내리기, 다각화 설정으로 특정 서빙 구성에서 추천을 받으려면 recommend 요청에서 해당 서빙 구성의 ID를 지정합니다.
서빙 구성 설정
서빙 구성에 사용할 수 있는 설정은 다음과 같습니다.
추천 부스트/하강 필터 및 부스트 값을 기준으로 미디어 추천을 부스트하거나 숨길 수 있습니다. 미디어 추천을 부스팅 및 숨기기에 대한 자세한 내용은 미디어 추천 부스팅 및 숨기기를 참고하세요.
추천 순위 내리기. 시청자 데이터 또는 콘텐츠 기간을 기준으로 미디어 추천의 순위를 내릴 수 있습니다. 순위 내리기 설정 및 설정 방법에 대한 자세한 내용은 미디어 추천 순위 내리기를 참고하세요.
추천 다각화. 추천을 다각화하여 추천 패널에 유사한 콘텐츠가 표시될 가능성을 줄일 수 있습니다. 다각화 설정 및 설정 방법에 관한 자세한 내용은 미디어 추천 다각화를 참고하세요.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-05(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**."]]
