:doc:`CustomerProfiles <../../customer-profiles>` / Paginator / ListRecommenderRecipes

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ListRecommenderRecipes
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.. py:class:: CustomerProfiles.Paginator.ListRecommenderRecipes

  ::

    
    paginator = client.get_paginator('list_recommender_recipes')

  
  

  .. py:method:: paginate(**kwargs)

    Creates an iterator that will paginate through responses from :py:meth:`CustomerProfiles.Client.list_recommender_recipes`.

    See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/customer-profiles-2020-08-15/ListRecommenderRecipes>`_    


    **Request Syntax**
    ::

      response_iterator = paginator.paginate(
          PaginationConfig={
              'MaxItems': 123,
              'PageSize': 123,
              'StartingToken': 'string'
          }
      )
      
    :type PaginationConfig: dict
    :param PaginationConfig: 

      A dictionary that provides parameters to control pagination.

      

    
      - **MaxItems** *(integer) --* 

        The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.

        

      
      - **PageSize** *(integer) --* 

        The size of each page.

        

      
      - **StartingToken** *(string) --* 

        A token to specify where to start paginating. This is the ``NextToken`` from a previous response.

        

      
    
    
    :rtype: dict
    :returns: 
      
      **Response Syntax**

      
      ::

        {
            'RecommenderRecipes': [
                {
                    'name': 'recommended-for-you'|'similar-items'|'frequently-paired-items'|'popular-items'|'trending-now',
                    'description': 'string'
                },
            ]
        }
        
      **Response Structure**

      

      - *(dict) --* 
        

        - **RecommenderRecipes** *(list) --* 

          A list of available recommender recipes and their properties.

          
          

          - *(dict) --* 

            Defines the algorithm and approach used to generate recommendations.

            
            

            - **name** *(string) --* 

              The name of the recommender recipe.

              
            

            - **description** *(string) --* 

              A description of the recommender recipe's purpose and functionality.

              
        
      
    