Interface RecommendRequestOrBuilder (0.23.0)

public interface RecommendRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsParams(String key)

public abstract boolean containsParams(String key)

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.

map<string, .google.protobuf.Value> params = 6;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

containsUserLabels(String key)

public abstract boolean containsUserLabels(String key)

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.

map<string, string> user_labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

getFilter()

public abstract String getFilter()

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

Examples:

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

    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.

string filter = 4;

Returns
TypeDescription
String

The filter.

getFilterBytes()

public abstract ByteString getFilterBytes()

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

Examples:

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

    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.

string filter = 4;

Returns
TypeDescription
ByteString

The bytes for filter.

getPageSize()

public abstract int getPageSize()

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.

int32 page_size = 3;

Returns
TypeDescription
int

The pageSize.

getParams()

public abstract Map<String,Value> getParams()

Use #getParamsMap() instead.

Returns
TypeDescription
Map<String,Value>

getParamsCount()

public abstract int getParamsCount()

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.

map<string, .google.protobuf.Value> params = 6;

Returns
TypeDescription
int

getParamsMap()

public abstract Map<String,Value> getParamsMap()

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.

map<string, .google.protobuf.Value> params = 6;

Returns
TypeDescription
Map<String,Value>

getParamsOrDefault(String key, Value defaultValue)

public abstract Value getParamsOrDefault(String key, Value defaultValue)

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.

map<string, .google.protobuf.Value> params = 6;

Parameters
NameDescription
keyString
defaultValueValue
Returns
TypeDescription
Value

getParamsOrThrow(String key)

public abstract Value getParamsOrThrow(String key)

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.

map<string, .google.protobuf.Value> params = 6;

Parameter
NameDescription
keyString
Returns
TypeDescription
Value

getServingConfig()

public abstract String getServingConfig()

Required. Full resource name of the format: projects/*/locations/global/collections/*/dataStores/*/servingConfigs/*

Before you can request recommendations from your model, you must create at least one serving config for it.

string serving_config = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
String

The servingConfig.

getServingConfigBytes()

public abstract ByteString getServingConfigBytes()

Required. Full resource name of the format: projects/*/locations/global/collections/*/dataStores/*/servingConfigs/*

Before you can request recommendations from your model, you must create at least one serving config for it.

string serving_config = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
ByteString

The bytes for servingConfig.

getUserEvent()

public abstract UserEvent getUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the 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.

.google.cloud.discoveryengine.v1beta.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEvent

The userEvent.

getUserEventOrBuilder()

public abstract UserEventOrBuilder getUserEventOrBuilder()

Required. Context about the user, what they are looking at and what action they took to trigger the 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.

.google.cloud.discoveryengine.v1beta.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
UserEventOrBuilder

getUserLabels()

public abstract Map<String,String> getUserLabels()

Use #getUserLabelsMap() instead.

Returns
TypeDescription
Map<String,String>

getUserLabelsCount()

public abstract int getUserLabelsCount()

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.

map<string, string> user_labels = 8;

Returns
TypeDescription
int

getUserLabelsMap()

public abstract Map<String,String> getUserLabelsMap()

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.

map<string, string> user_labels = 8;

Returns
TypeDescription
Map<String,String>

getUserLabelsOrDefault(String key, String defaultValue)

public abstract String getUserLabelsOrDefault(String key, String defaultValue)

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.

map<string, string> user_labels = 8;

Parameters
NameDescription
keyString
defaultValueString
Returns
TypeDescription
String

getUserLabelsOrThrow(String key)

public abstract String getUserLabelsOrThrow(String key)

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.

map<string, string> user_labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
String

getValidateOnly()

public abstract boolean getValidateOnly()

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.

bool validate_only = 5;

Returns
TypeDescription
boolean

The validateOnly.

hasUserEvent()

public abstract boolean hasUserEvent()

Required. Context about the user, what they are looking at and what action they took to trigger the 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.

.google.cloud.discoveryengine.v1beta.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the userEvent field is set.