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public interface RecommendRequestOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
containsParams(String key)
public abstract boolean containsParams(String key)
Additional domain specific parameters for the recommendations.
Allowed values:
returnDocument
: Boolean. If set totrue
, the associated Document object is returned in RecommendResponse.RecommendationResult.document.returnScore
: Boolean. If set to true, the recommendation score corresponding to each returned Document is 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 tofalse
, the service returns 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, thefilter
field is interpreted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 6;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
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
attributeFilteringSyntax
is set to true under theparams
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 returns generic (unfiltered) popular Documents. If you only want results strictly matching the filters, set
strictFiltering
totrue
in RecommendRequest.params to receive empty results instead.Note that the API never returns Documents with
storageStatus
asEXPIRED
orDELETED
regardless of filter choices.
string filter = 4;
Returns | |
---|---|
Type | Description |
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
attributeFilteringSyntax
is set to true under theparams
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 returns generic (unfiltered) popular Documents. If you only want results strictly matching the filters, set
strictFiltering
totrue
in RecommendRequest.params to receive empty results instead.Note that the API never returns Documents with
storageStatus
asEXPIRED
orDELETED
regardless of filter choices.
string filter = 4;
Returns | |
---|---|
Type | Description |
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 chooses a reasonable default. The maximum allowed value is 100. Values above 100 are set to 100.
int32 page_size = 3;
Returns | |
---|---|
Type | Description |
int |
The pageSize. |
getParams() (deprecated)
public abstract Map<String,Value> getParams()
Use #getParamsMap() instead.
Returns | |
---|---|
Type | Description |
Map<String,Value> |
getParamsCount()
public abstract int getParamsCount()
Additional domain specific parameters for the recommendations.
Allowed values:
returnDocument
: Boolean. If set totrue
, the associated Document object is returned in RecommendResponse.RecommendationResult.document.returnScore
: Boolean. If set to true, the recommendation score corresponding to each returned Document is 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 tofalse
, the service returns 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, thefilter
field is interpreted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 6;
Returns | |
---|---|
Type | Description |
int |
getParamsMap()
public abstract Map<String,Value> getParamsMap()
Additional domain specific parameters for the recommendations.
Allowed values:
returnDocument
: Boolean. If set totrue
, the associated Document object is returned in RecommendResponse.RecommendationResult.document.returnScore
: Boolean. If set to true, the recommendation score corresponding to each returned Document is 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 tofalse
, the service returns 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, thefilter
field is interpreted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 6;
Returns | |
---|---|
Type | Description |
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 totrue
, the associated Document object is returned in RecommendResponse.RecommendationResult.document.returnScore
: Boolean. If set to true, the recommendation score corresponding to each returned Document is 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 tofalse
, the service returns 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, thefilter
field is interpreted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 6;
Parameters | |
---|---|
Name | Description |
key |
String |
defaultValue |
Value |
Returns | |
---|---|
Type | Description |
Value |
getParamsOrThrow(String key)
public abstract Value getParamsOrThrow(String key)
Additional domain specific parameters for the recommendations.
Allowed values:
returnDocument
: Boolean. If set totrue
, the associated Document object is returned in RecommendResponse.RecommendationResult.document.returnScore
: Boolean. If set to true, the recommendation score corresponding to each returned Document is 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 tofalse
, the service returns 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, thefilter
field is interpreted according to the new, attribute-based syntax.
map<string, .google.protobuf.Value> params = 6;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
Value |
getServingConfig()
public abstract String getServingConfig()
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 is 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.
string serving_config = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Returns | |
---|---|
Type | Description |
String |
The servingConfig. |
getServingConfigBytes()
public abstract ByteString getServingConfigBytes()
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 is 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.
string serving_config = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
Returns | |
---|---|
Type | Description |
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.v1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
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.v1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
UserEventOrBuilder |
getUserLabels() (deprecated)
public abstract Map<String,String> getUserLabels()
Use #getUserLabelsMap() instead.
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
key |
String |
defaultValue |
String |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
String |
getValidateOnly()
public abstract boolean getValidateOnly()
Use validate only mode for this recommendation query. If set to true
, a
fake model is 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 | |
---|---|
Type | Description |
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.v1.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
boolean |
Whether the userEvent field is set. |