Multi-Level Ensemble Learning Based Recommendation System – Pinnacle of Personalized Marketing

Summary

By creating customer experience that is both personalized and comfortable, and by presenting the right set of products through the right channels according to the customers’ preferences, retailers can keep customers engaged and thus retained. This can be made possible through a revolutionized machine learning algorithm, Recommendation Engine. In this white paper we have built and deployed Recommendation Engines based on different algorithms such as Apriori algorithm and Generalized Low Rank Models (GLRM) for our clients in fashion and food.

What is in it for you?

In this white paper, various algorithms have been used to create a framework that gives personalized recommendation to the customers. The details of different techniques and their mathematical formulation along with modelling steps and results are discussed here.

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