kendra_update_query_suggestions_config: Updates the settings of query suggestions for an index
In paws.analytics: 'Amazon Web Services' Analytics Services

kendra_update_query_suggestions_config

R Documentation

Updates the settings of query suggestions for an index

Description

Updates the settings of query suggestions for an index.

See https://www.paws-r-sdk.com/docs/kendra_update_query_suggestions_config/ for full documentation.

Usage

kendra_update_query_suggestions_config(
  IndexId,
  Mode = NULL,
  QueryLogLookBackWindowInDays = NULL,
  IncludeQueriesWithoutUserInformation = NULL,
  MinimumNumberOfQueryingUsers = NULL,
  MinimumQueryCount = NULL,
  AttributeSuggestionsConfig = NULL
)

Arguments

`IndexId`	[required] The identifier of the index with query suggestions you want to update.
`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.
`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.
`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.
`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.
`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.
`AttributeSuggestionsConfig`	Configuration information for the document fields/attributes that you want to base query suggestions on.