@Generated(value="software.amazon.awssdk:codegen") public final class UpdateQuerySuggestionsConfigRequest extends KendraRequest implements ToCopyableBuilder<UpdateQuerySuggestionsConfigRequest.Builder,UpdateQuerySuggestionsConfigRequest>
| Modifier and Type | Class and Description |
|---|---|
static interface |
UpdateQuerySuggestionsConfigRequest.Builder |
| Modifier and Type | Method and Description |
|---|---|
AttributeSuggestionsUpdateConfig |
attributeSuggestionsConfig()
Configuration information for the document fields/attributes that you want to base query suggestions on.
|
static UpdateQuerySuggestionsConfigRequest.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
Boolean |
includeQueriesWithoutUserInformation()
TRUE to include queries without user information (i.e. |
String |
indexId()
The identifier of the index with query suggestions you want to update.
|
Integer |
minimumNumberOfQueryingUsers()
The minimum number of unique users who must search a query in order for the query to be eligible to suggest to
your users.
|
Integer |
minimumQueryCount()
The the minimum number of times a query must be searched in order to be eligible to suggest to your users.
|
Mode |
mode()
Set the mode to
ENABLED or LEARN_ONLY. |
String |
modeAsString()
Set the mode to
ENABLED or LEARN_ONLY. |
Integer |
queryLogLookBackWindowInDays()
How recent your queries are in your query log time window.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends UpdateQuerySuggestionsConfigRequest.Builder> |
serializableBuilderClass() |
UpdateQuerySuggestionsConfigRequest.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
overrideConfigurationclone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String indexId()
The identifier of the index with query suggestions you want to update.
public final Mode mode()
Set the mode to ENABLED or LEARN_ONLY.
By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
suggestions. You can to update this at any time.
In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
for when you are ready to switch to ENABLED mode again.
If the service returns an enum value that is not available in the current SDK version, mode will return
Mode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
modeAsString().
ENABLED or LEARN_ONLY.
By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off
query suggestions. You can to update this at any time.
In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up
to date for when you are ready to switch to ENABLED mode again.
Modepublic final String modeAsString()
Set the mode to ENABLED or LEARN_ONLY.
By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query
suggestions. You can to update this at any time.
In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date
for when you are ready to switch to ENABLED mode again.
If the service returns an enum value that is not available in the current SDK version, mode will return
Mode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
modeAsString().
ENABLED or LEARN_ONLY.
By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off
query suggestions. You can to update this at any time.
In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up
to date for when you are ready to switch to ENABLED mode again.
Modepublic final Integer queryLogLookBackWindowInDays()
How recent your queries are in your query log time window.
The time window is the number of days from current day to past days.
By default, Amazon Kendra sets this to 180.
The time window is the number of days from current day to past days.
By default, Amazon Kendra sets this to 180.
public final Boolean includeQueriesWithoutUserInformation()
TRUE to include queries without user information (i.e. all queries, irrespective of the user),
otherwise FALSE to only include queries with user information.
If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE
and instruct Amazon Kendra to only consider queries with user information.
If you set to FALSE, Amazon Kendra only considers queries searched at least
MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
suggestions.
If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
TRUE to include queries without user information (i.e. all queries, irrespective of the
user), otherwise FALSE to only include queries with user information.
If you pass user information to Amazon Kendra along with the queries, you can set this flag to
FALSE and instruct Amazon Kendra to only consider queries with user information.
If you set to FALSE, Amazon Kendra only considers queries searched at least
MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for
suggestions.
If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.
public final Integer minimumNumberOfQueryingUsers()
The minimum number of unique users who must search a query in order for the query to be eligible to suggest to your users.
Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by many users and is truly popular to suggest to users.
How you tune this setting depends on your specific needs.
Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by many users and is truly popular to suggest to users.
How you tune this setting depends on your specific needs.
public final Integer minimumQueryCount()
The the minimum number of times a query must be searched in order to be eligible to suggest to your users.
Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as it sets a low bar for a query to be considered popular to suggest to users.
How you tune this setting depends on your specific needs.
Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as it sets a low bar for a query to be considered popular to suggest to users.
How you tune this setting depends on your specific needs.
public final AttributeSuggestionsUpdateConfig attributeSuggestionsConfig()
Configuration information for the document fields/attributes that you want to base query suggestions on.
public UpdateQuerySuggestionsConfigRequest.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<UpdateQuerySuggestionsConfigRequest.Builder,UpdateQuerySuggestionsConfigRequest>toBuilder in class KendraRequestpublic static UpdateQuerySuggestionsConfigRequest.Builder builder()
public static Class<? extends UpdateQuerySuggestionsConfigRequest.Builder> serializableBuilderClass()
public final int hashCode()
hashCode in class AwsRequestpublic final boolean equals(Object obj)
equals in class AwsRequestpublic final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
public final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz)
getValueForField in class SdkRequestCopyright © 2023. All rights reserved.