Introduction

The Xineoh Consumer Behaviour API is a fully managed artificial intelligence solution that provides personalization as a service. Xineoh has placed accuracy and ease of use as the chief aims of this solution. To this end, this guide will enable you to build a recommendation solution using the MovieLens 25M database that is multiple times more accurate in terms of HitRate than Xineoh’s main competitors. You will be able to do this within as little as 30 minutes of coding time and approximately 3 hours of waiting time for the model to train and optimise.

The How to Guide has the following sections:

  1. How it works
  2. Prerequisites
  3. Applications, Datasets and Schemas
  4. Steps in Building a Recommender Using the API
  5. Sample Implementation - MovieLens 25M Dataset