package Paws::PersonalizeRuntime; use Moose; sub service { 'personalize-runtime' } sub signing_name { 'personalize' } sub version { '2018-05-22' } sub flattened_arrays { 0 } has max_attempts => (is => 'ro', isa => 'Int', default => 5); has retry => (is => 'ro', isa => 'HashRef', default => sub { { base => 'rand', type => 'exponential', growth_factor => 2 } }); has retriables => (is => 'ro', isa => 'ArrayRef', default => sub { [ ] }); with 'Paws::API::Caller', 'Paws::API::EndpointResolver', 'Paws::Net::V4Signature', 'Paws::Net::RestJsonCaller'; sub GetPersonalizedRanking { my $self = shift; my $call_object = $self->new_with_coercions('Paws::PersonalizeRuntime::GetPersonalizedRanking', @_); return $self->caller->do_call($self, $call_object); } sub GetRecommendations { my $self = shift; my $call_object = $self->new_with_coercions('Paws::PersonalizeRuntime::GetRecommendations', @_); return $self->caller->do_call($self, $call_object); } sub operations { qw/GetPersonalizedRanking GetRecommendations / } 1; ### main pod documentation begin ### =head1 NAME Paws::PersonalizeRuntime - Perl Interface to AWS Amazon Personalize Runtime =head1 SYNOPSIS use Paws; my $obj = Paws->service('PersonalizeRuntime'); my $res = $obj->Method( Arg1 => $val1, Arg2 => [ 'V1', 'V2' ], # if Arg3 is an object, the HashRef will be used as arguments to the constructor # of the arguments type Arg3 => { Att1 => 'Val1' }, # if Arg4 is an array of objects, the HashRefs will be passed as arguments to # the constructor of the arguments type Arg4 => [ { Att1 => 'Val1' }, { Att1 => 'Val2' } ], ); =head1 DESCRIPTION For the AWS API documentation, see L =head1 METHODS =head2 GetPersonalizedRanking =over =item CampaignArn => Str =item InputList => ArrayRef[Str|Undef] =item UserId => Str =item [Context => L] =item [FilterArn => Str] =item [FilterValues => L] =back Each argument is described in detail in: L Returns: a L instance 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. =head2 GetRecommendations =over =item CampaignArn => Str =item [Context => L] =item [FilterArn => Str] =item [FilterValues => L] =item [ItemId => Str] =item [NumResults => Int] =item [UserId => Str] =back Each argument is described in detail in: L Returns: a L instance Returns a list of recommended items. The required input depends on the recipe type used to create the solution backing the campaign, as follows: =over =item * RELATED_ITEMS - C required, C not used =item * USER_PERSONALIZATION - C optional, C required =back Campaigns that are backed by a solution created using a recipe of type PERSONALIZED_RANKING use the API. =head1 PAGINATORS Paginator methods are helpers that repetively call methods that return partial results =head1 SEE ALSO This service class forms part of L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut