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This repository has been archived by the owner on Sep 12, 2023. It is now read-only.

Predictive User Engagement is a turnkey solution that enables developers to quickly and easily add personalization to web and mobile applications, utilizing real-time usage data to personalize recommendations and notifications – all without having any machine learning expertise.

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awslabs/predictive-user-engagement

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This AWS Solution has been archived and is no longer maintained by AWS. To discover other solutions, please visit the AWS Solutions Library.

Predictive User Engagement solution

Predictive User Engagement (PUE) combines two fully managed AWS services and enables developers to quickly and easily add personalization to their web and mobile applications. Developers can combine predictions and recommendations with real-time notifications and analytics, based on a user’s engagement, all without need of machine learning expertise.

OS/Python Environment Setup

sudo apt-get update
sudo apt-get install zip sed wget -y
sudo pip install --upgrade pip
sudo pip install --upgrade setuptools
sudo pip install --upgrade virtualenv```

CF template and Lambda function

Located in deployment/dist


Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.

Licensed under the Apache License Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at

http://www.apache.org/licenses/

or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for the specific language governing permissions and limitations under the License.

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Predictive User Engagement is a turnkey solution that enables developers to quickly and easily add personalization to web and mobile applications, utilizing real-time usage data to personalize recommendations and notifications – all without having any machine learning expertise.

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