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03_​Amazon_​Personalize_​Movie_​Recommendation_​Example

Amazon Personalize Movie Recommendation Example
Read in datasets and upload to Amazon Personalize. Create a solution version and deploy it, i.e., train a model, and deploy it by creating acampaign. Use the campaign to get personalized movie recommendations. Connect to Amazon. Create a solution versionusing a userpersonalization recipe.Get personalizedrecommendations.Deploy the solutionversion as campaign.User dataItem dataInteractions dataFilter rating >= 4.Wait forcompletionof all uploads.Users to getrecommendations for.Ungroup fornicer inspection. AmazonAuthentication Amazon PersonalizeUpload Users Amazon PersonalizeUpload Interactions Amazon PersonalizeUpload Items Amazon PersonalizeCreate Solution Version Amazon PersonalizeUser Personalization Amazon PersonalizeCreate Campaign File Reader File Reader File Reader Row Filter Merge Variables Table Creator Ungroup Read in datasets and upload to Amazon Personalize. Create a solution version and deploy it, i.e., train a model, and deploy it by creating acampaign. Use the campaign to get personalized movie recommendations. Connect to Amazon. Create a solution versionusing a userpersonalization recipe.Get personalizedrecommendations.Deploy the solutionversion as campaign.User dataItem dataInteractions dataFilter rating >= 4.Wait forcompletionof all uploads.Users to getrecommendations for.Ungroup fornicer inspection.AmazonAuthentication Amazon PersonalizeUpload Users Amazon PersonalizeUpload Interactions Amazon PersonalizeUpload Items Amazon PersonalizeCreate Solution Version Amazon PersonalizeUser Personalization Amazon PersonalizeCreate Campaign File Reader File Reader File Reader Row Filter Merge Variables Table Creator Ungroup

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: simon
Created at: 2019-10-28
On NodePit since: 2020-01-09
Last update: 2024-04-20
Created with KNIME version: v4.1.0
Tags: Amazon PersonalizeRecommendationPersonalizationAWSMovie

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