public final class RecommendRequest extends GeneratedMessageV3 implements RecommendRequestOrBuilder
Request message for Recommend method.
Protobuf type google.cloud.discoveryengine.v1beta.RecommendRequest
Static Fields
FILTER_FIELD_NUMBER
public static final int FILTER_FIELD_NUMBER
Field Value
PAGE_SIZE_FIELD_NUMBER
public static final int PAGE_SIZE_FIELD_NUMBER
Field Value
PARAMS_FIELD_NUMBER
public static final int PARAMS_FIELD_NUMBER
Field Value
SERVING_CONFIG_FIELD_NUMBER
public static final int SERVING_CONFIG_FIELD_NUMBER
Field Value
USER_EVENT_FIELD_NUMBER
public static final int USER_EVENT_FIELD_NUMBER
Field Value
VALIDATE_ONLY_FIELD_NUMBER
public static final int VALIDATE_ONLY_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static RecommendRequest getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static RecommendRequest.Builder newBuilder()
Returns
newBuilder(RecommendRequest prototype)
public static RecommendRequest.Builder newBuilder(RecommendRequest prototype)
Parameter
Returns
public static RecommendRequest parseDelimitedFrom(InputStream input)
Parameter
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Exceptions
public static RecommendRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parseFrom(byte[] data)
public static RecommendRequest parseFrom(byte[] data)
Parameter
| Name | Description |
| data | byte[]
|
Returns
Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static RecommendRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parseFrom(ByteString data)
public static RecommendRequest parseFrom(ByteString data)
Parameter
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Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static RecommendRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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Exceptions
public static RecommendRequest parseFrom(CodedInputStream input)
Parameter
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Exceptions
public static RecommendRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
public static RecommendRequest parseFrom(InputStream input)
Parameter
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Exceptions
public static RecommendRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteBuffer data)
public static RecommendRequest parseFrom(ByteBuffer data)
Parameter
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Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static RecommendRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Exceptions
parser()
public static Parser<RecommendRequest> parser()
Returns
Methods
containsParams(String key)
public 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.results.document.returnScore: Boolean. If set to true, the recommendation 'score'
corresponding to each returned Document will be set in
RecommendResponse.results.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;
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
Overrides
getDefaultInstanceForType()
public RecommendRequest getDefaultInstanceForType()
Returns
getFilter()
public 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;
| Type | Description |
| String | The filter.
|
getFilterBytes()
public 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;
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;
| Type | Description |
| int | The pageSize.
|
getParams()
public Map<String,Value> getParams()
Returns
getParamsCount()
public 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.results.document.returnScore: Boolean. If set to true, the recommendation 'score'
corresponding to each returned Document will be set in
RecommendResponse.results.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;
getParamsMap()
public 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.results.document.returnScore: Boolean. If set to true, the recommendation 'score'
corresponding to each returned Document will be set in
RecommendResponse.results.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;
getParamsOrDefault(String key, Value defaultValue)
public 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.results.document.returnScore: Boolean. If set to true, the recommendation 'score'
corresponding to each returned Document will be set in
RecommendResponse.results.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;
getParamsOrThrow(String key)
public 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.results.document.returnScore: Boolean. If set to true, the recommendation 'score'
corresponding to each returned Document will be set in
RecommendResponse.results.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;
getParserForType()
public Parser<RecommendRequest> getParserForType()
Returns
Overrides
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getServingConfig()
public String getServingConfig()
Required. Full resource name of the format:
projects/*/locations/global/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) = { ... }
| Type | Description |
| String | The servingConfig.
|
getServingConfigBytes()
public ByteString getServingConfigBytes()
Required. Full resource name of the format:
projects/*/locations/global/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) = { ... }
| Type | Description |
| ByteString | The bytes for servingConfig.
|
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
getUserEvent()
public 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];
getUserEventOrBuilder()
public 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];
getValidateOnly()
public 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;
| Type | Description |
| boolean | The validateOnly.
|
hasUserEvent()
public 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];
| Type | Description |
| boolean | Whether the userEvent field is set.
|
hashCode()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Parameter
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
newBuilderForType()
public RecommendRequest.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected RecommendRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Returns
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Returns
Overrides
toBuilder()
public RecommendRequest.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
