Method: projects.locations.collections.engines.servingConfigs.recommend

Makes a recommendation, which requires a contextual user event.

HTTP request

POST https://discoveryengine.googleapis.com/v1alpha/{servingConfig=projects/*/locations/*/collections/*/engines/*/servingConfigs/*}:recommend

The URL uses gRPC Transcoding syntax.

Path parameters

Parameters
servingConfig

string

Required. Full resource name of a ServingConfig: projects/*/locations/global/collections/*/engines/*/servingConfigs/*, or projects/*/locations/global/collections/*/dataStores/*/servingConfigs/*

One default serving config is created along with your recommendation engine creation. The engine ID will be used as the ID of the default serving config. For example, for Engine projects/*/locations/global/collections/*/engines/my-engine, you can use projects/*/locations/global/collections/*/engines/my-engine/servingConfigs/my-engine for your RecommendationService.Recommend requests.

Request body

The request body contains data with the following structure:

JSON representation 
{
  "userEvent": {
    object (UserEvent)
  },
  "pageSize": integer,
  "filter": string,
  "validateOnly": boolean,
  "params": {
    string: value,
    ...
  },
  "userLabels": {
    string: string,
    ...
  }
}
Fields
userEvent

object (UserEvent)

Required. Context about the user, what they are looking at and what action they took to trigger the servingConfigs.recommend request. Note that this user event detail won't be ingested to userEvent logs. Thus, a separate userEvent write request is required for event logging.

Don't set UserEvent.user_pseudo_id or UserEvent.user_info.user_id to the same fixed ID for different users. If you are trying to receive non-personalized recommendations (not recommended; this can negatively impact model performance), instead set UserEvent.user_pseudo_id to a random unique ID and leave UserEvent.user_info.user_id unset.
pageSize

integer

Maximum number of results to return. Set this property to the number of recommendation results needed. If zero, the service will choose a reasonable default. The maximum allowed value is 100. Values above 100 will be coerced to 100.
filter

string

Filter for restricting recommendation results with a length limit of 5,000 characters. Currently, only filter expressions on the filterTags attribute is supported.

Examples:

  • (filterTags: ANY("Red", "Blue") OR filterTags: ANY("Hot", "Cold"))
  • (filterTags: ANY("Red", "Blue")) AND NOT (filterTags: ANY("Green"))

If attributeFilteringSyntax is set to true under the params field, then attribute-based expressions are expected instead of the above described tag-based syntax. Examples:

  • (launguage: ANY("en", "es")) AND NOT (categories: ANY("Movie"))
  • (available: true) AND (launguage: ANY("en", "es")) OR (categories: ANY("Movie"))

If your filter blocks all results, the API will return generic (unfiltered) popular Documents. If you only want results strictly matching the filters, set strictFiltering to True in RecommendRequest.params to receive empty results instead.

Note that the API will never return Documents with storageStatus of EXPIRED or DELETED regardless of filter choices.
validateOnly

boolean

Use validate only mode for this recommendation query. If set to true, a fake model will be used that returns arbitrary Document IDs. Note that the validate only mode should only be used for testing the API, or if the model is not ready.
params

map (key: string, value: value (Value format))

Additional domain specific parameters for the recommendations.

Allowed values:

  • returnDocument: Boolean. If set to true, the associated Document object will be returned in RecommendResponse.RecommendationResult.document.
  • returnScore: Boolean. If set to true, the recommendation 'score' corresponding to each returned Document will be set in RecommendResponse.RecommendationResult.metadata. The given 'score' indicates the probability of a Document conversion given the user's context and history.
  • strictFiltering: Boolean. True by default. If set to false, the service will return generic (unfiltered) popular Documents instead of empty if your filter blocks all recommendation results.
  • diversityLevel: String. Default empty. If set to be non-empty, then it needs to be one of:
    • no-diversity
    • low-diversity
    • medium-diversity
    • high-diversity
    • auto-diversity This gives request-level control and adjusts recommendation results based on Document category.
  • attributeFilteringSyntax: Boolean. False by default. If set to true, the filter field is interpreted according to the new, attribute-based syntax.
userLabels

map (key: string, value: string)

The user labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character.

See Requirements for labels for more details.

Response body

If successful, the response body contains an instance of RecommendResponse.

Authorization scopes

Requires the following OAuth scope:

  • https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the servingConfig resource:

  • discoveryengine.servingConfigs.recommend

For more information, see the IAM documentation.