Amazon Personalize Runtime

{'personalizedRanking': {'score': 'double'}}

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.

See also: AWS API Documentation

Request Syntax

client.get_personalized_ranking(
    campaignArn='string',
    inputList=[
        'string',
    ],
    userId='string',
    context={
        'string': 'string'
    }
)

type campaignArn:

string

param campaignArn:

[REQUIRED]

The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.

type inputList:

list

param inputList:

[REQUIRED]

A list of items (itemId's) 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.

• (string) --

type userId:

string

param userId:

[REQUIRED]

The user for which you want the campaign to provide a personalized ranking.

type context:

dict

param context:

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.

• (string) --

  • (string) --

rtype:

dict

returns:

Response Syntax

{
    'personalizedRanking': [
        {
            'itemId': 'string',
            'score': 123.0
        },
    ]
}

Response Structure

• (dict) --

  • personalizedRanking (list) --

    A list of items in order of most likely interest to the user. The maximum is 500.

    • (dict) --

      An object that identifies an item.

      The and APIs return a list of ``PredictedItem``s.

      • itemId (string) --

        The recommended item ID.

      • score (float) --

        A numeric representation of the model's certainty in the item's suitability. For more information on scoring logic, see how-scores-work.

{'itemList': {'score': 'double'}}

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

See also: AWS API Documentation

Request Syntax

client.get_recommendations(
    campaignArn='string',
    itemId='string',
    userId='string',
    numResults=123,
    context={
        'string': 'string'
    }
)

type campaignArn:

string

param campaignArn:

[REQUIRED]

The Amazon Resource Name (ARN) of the campaign to use for getting recommendations.

type itemId:

string

param itemId:

The item ID to provide recommendations for.

Required for RELATED_ITEMS recipe type.

type userId:

string

param userId:

The user ID to provide recommendations for.

Required for USER_PERSONALIZATION recipe type.

type numResults:

integer

param numResults:

The number of results to return. The default is 25. The maximum is 500.

type context:

dict

param context:

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.

• (string) --

  • (string) --

rtype:

dict

returns:

Response Syntax

{
    'itemList': [
        {
            'itemId': 'string',
            'score': 123.0
        },
    ]
}

Response Structure

• (dict) --

  • itemList (list) --

    A list of recommendations sorted in ascending order by prediction score. There can be a maximum of 500 items in the list.

    • (dict) --

      An object that identifies an item.

      The and APIs return a list of ``PredictedItem``s.

      • itemId (string) --

        The recommended item ID.

      • score (float) --

        A numeric representation of the model's certainty in the item's suitability. For more information on scoring logic, see how-scores-work.