String campaignArn
The Amazon Resource Name (ARN) of the campaign to use for generating the personalized ranking.
List<E> inputList
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 userId
The user for which you want the campaign to provide a personalized ranking.
Map<K,V> 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 campaignArn
The Amazon Resource Name (ARN) of the campaign to use for getting recommendations.
String itemId
The item ID to provide recommendations for.
Required for RELATED_ITEMS recipe type.
String userId
The user ID to provide recommendations for.
Required for USER_PERSONALIZATION recipe type.
Integer numResults
The number of results to return. The default is 25. The maximum is 500.
Map<K,V> 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 filterArn
The ARN of the filter to apply to the returned recommendations. For more information, see Using Filters with Amazon Personalize.
String itemId
The recommended item ID.
Double score
A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.
Copyright © 2020. All rights reserved.