Introduction
Alie is an AI-powered recommendation engine. It recommends personalized content in real-time to your end-users with great accuracy by analysing their personal data and behaviour. Alie works in 3 simple steps; collecting the end-users data, analysing the data, and then giving the recommendation to the end-users.
This quick start guide walks you through getting started with Alie. To begin with, you have to purchase the subscription of Alie. You can also take a Free Trial before purchasing the subscription. Once you logged in to Alie, first, you need to create a project, based on your requirement. After creating the project, you need to upload the user data, item data and behavioural data to Alie. You can either upload the data manually or by using API and/or JavaScript. By using the latter you can automatically pull data from your website/app to Alie. Then you need to configure your data with Alie’s default data field to train it. You can configure the user data, item data and behavioural data. After configuring your data to train Alie, you need to select the Algorithm. Based on the algorithm, Alie will give the recommendation. You can select from multiple Algorithms. Then, you can add different filters and conditions to view the output of Alie’s recommendation. Finally, you can view the output in JSON format.
Creating a Project
First, you need to create a project where you need to upload the “User Data”, “Item Data” and “Behavioural Data”. If you want to test Alie before adding the actual data, you can use the sample data to create your project. We have provided sample data from various industries such as “E-commerce”, “Food”, and “Media and Entertainment”. You can click on any sample project to start with or you can create your own project.
- To create your project, click on “Create Project” on the right-hand side of the dashboard.
- Type your project name and click on “Create”. You can create multiple projects.
- After creating a project, you can remove it or reset it.