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Introduction
How It Works
Prerequisites
Administrator Account and Organisation Creation Application Creation Data Set Requirements
Step 1: Data Cleanup Step 2: Data Transformation Step 3: Upload to S3 Bucket Step 4: Sharing S3 Bucket Access to Xineoh’s API
Applications, Datasets and Schemas
Applications
Application Types
Datasets and Schemas
Minimum Requirements for Datasets and Schemas Customising Datasets and Schemas
Steps in Building a Recommender with the API
Step 1: Batch Upload Step 2: Build Data and Structures for Training and Testing Step 3: Train Model Step 4: Test Model Step 5: Optimise Meta Parameters Step 6: User-Clustering - Run Clustering, View Trade-Off, Choose Cluster Count Step 7: Item-Clustering - Run Clustering, View Trade-Off, Choose Cluster Count Step 8: Get Recommendations
Sample Implementation - Movielens 25M Dataset
S3 Bucket Creation Login as Organisation First Application Download MovieLens Preprocessed Data Upload Data to S3 Bucket Building the Recommender
Uploading S3 Bucket data to Xineoh Platform Build Data Train Test Optimization User Clustering and Trade-Off Item Clustering and Trade-Off
First Recommendations
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1. Administrator Account and Organisation Creation

To get started with the Xineoh Consumer Behaviour API, you must create an account.

The steps below outline how to open an account:

  1. Go to our register page.
  2. Submit the registration form.
  3. Complete the register process by confirming your email address via the verification link sent to the email address signed up with.
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