Topic 1 Question 115
A retail company is using Amazon Personalize to provide personalized product recommendations for its customers during a marketing campaign. The company sees a significant increase in sales of recommended items to existing customers immediately after deploying a new solution version, but these sales decrease a short time after deployment. Only historical data from before the marketing campaign is available for training. How should a data scientist adjust the solution?
Use the event tracker in Amazon Personalize to include real-time user interactions.
Add user metadata and use the HRNN-Metadata recipe in Amazon Personalize.
Implement a new solution using the built-in factorization machines (FM) algorithm in Amazon SageMaker.
Add event type and event value fields to the interactions dataset in Amazon Personalize.
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A is the correct answer. Because in this case, it is not the problem with the existing historical data (event value, event type(click or not)), the sales do not keep growing and now you need to obtain more recent interactive data. An event tracker specifies a destination dataset group for new event data.
👍 35SophieSu2021/10/17- 正解だと思う選択肢: A
here is the receipt:
https://docs.aws.amazon.com/personalize/latest/dg/maintaining-relevance.html
👍 6ovokpus2022/06/26 - 👍 3Huy2021/11/06
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