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AWS clients for Elixir
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lib/aws/generated/personalize_runtime.ex
# WARNING: DO NOT EDIT, AUTO-GENERATED CODE!
# See https://github.com/aws-beam/aws-codegen for more details.
defmodule AWS.PersonalizeRuntime do
alias AWS.Client
alias AWS.Request
def metadata do
%AWS.ServiceMetadata{
abbreviation: nil,
api_version: "2018-05-22",
content_type: "application/x-amz-json-1.1",
credential_scope: nil,
endpoint_prefix: "personalize-runtime",
global?: false,
protocol: "rest-json",
service_id: "Personalize Runtime",
signature_version: "v4",
signing_name: "personalize",
target_prefix: nil
}
end
@doc """
Re-ranks a list of recommended items for the given user.
The first item in the list is deemed the most likely item to be of interest to
the user.
The solution backing the campaign must have been created using a recipe of type
PERSONALIZED_RANKING.
"""
def get_personalized_ranking(%Client{} = client, input, options \\ []) do
url_path = "/personalize-ranking"
headers = []
query_params = []
Request.request_rest(
client,
metadata(),
:post,
url_path,
query_params,
headers,
input,
options,
nil
)
end
@doc """
Returns a list of recommended items.
The required input depends on the recipe type used to create the solution
backing the campaign, as follows:
* RELATED_ITEMS - `itemId` required, `userId` not used
* USER_PERSONALIZATION - `itemId` optional, `userId` required
Campaigns that are backed by a solution created using a recipe of type
PERSONALIZED_RANKING use the API.
"""
def get_recommendations(%Client{} = client, input, options \\ []) do
url_path = "/recommendations"
headers = []
query_params = []
Request.request_rest(
client,
metadata(),
:post,
url_path,
query_params,
headers,
input,
options,
nil
)
end
end