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Class: Aws::PersonalizeRuntime::Types::GetPersonalizedRankingRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::PersonalizeRuntime::Types::GetPersonalizedRankingRequest
- Defined in:
- (unknown)
Overview
When passing GetPersonalizedRankingRequest as input to an Aws::Client method, you can use a vanilla Hash:
{
campaign_arn: "Arn", # required
input_list: ["ItemID"], # required
user_id: "UserID", # required
context: {
"AttributeName" => "AttributeValue",
},
filter_arn: "Arn",
filter_values: {
"FilterAttributeName" => "FilterAttributeValue",
},
}
Instance Attribute Summary collapse
-
#campaign_arn ⇒ String
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
-
#context ⇒ Hash<String,String>
The contextual metadata to use when getting recommendations.
-
#filter_arn ⇒ String
The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for a given user.
-
#filter_values ⇒ Hash<String,String>
The values to use when filtering recommendations.
-
#input_list ⇒ Array<String>
A list of items (by
itemId
) to rank. -
#user_id ⇒ String
The user for which you want the campaign to provide a personalized ranking.
Instance Attribute Details
#campaign_arn ⇒ String
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
#context ⇒ Hash<String,String>
The contextual metadata to use when getting recommendations. Contextual metadata includes any interaction information that might be relevant when getting a user\'s recommendations, such as the user\'s current location or device type.
#filter_arn ⇒ String
The Amazon Resource Name (ARN) of a filter you created to include items or exclude items from recommendations for a given user. For more information, see Filtering Recommendations.
#filter_values ⇒ Hash<String,String>
The values to use when filtering recommendations. For each placeholder parameter in your filter expression, provide the parameter name (in matching case) as a key and the filter value(s) as the corresponding value. Separate multiple values for one parameter with a comma.
For filter expressions that use an INCLUDE
element to include items,
you must provide values for all parameters that are defined in the
expression. For filters with expressions that use an EXCLUDE
element
to exclude items, you can omit the filter-values
.In this case, Amazon
Personalize doesn\'t use that portion of the expression to filter
recommendations.
For more information, see Filtering Recommendations.
#input_list ⇒ Array<String>
A list of items (by itemId
) to rank. If an item was not included in
the training dataset, the item is appended to the end of the reranked
list. The maximum is 500.
#user_id ⇒ String
The user for which you want the campaign to provide a personalized ranking.