ITC Infotech > Resources > Whitepapers > Multi-Level Ensemble Learning Based Recommendation System – Pinnacle of Personalized Marketing

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

September 6, 2019

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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Beware of fraudulent and fake job offers

It has come to our attention that certain employment agencies and individuals are asking people for money in exchange for a job at ITC Infotech.

Such Agencies/individuals could impersonate ITC Infotech’s officers, use the company name/logo, brand names and images illegally, without authorization, and/or try to extract money towards security deposit, documentation processing fees, training fees, and so on.

Please note that ITC Infotech never asks job applicants or members of the public to pay money in any form while recruiting.

Feel free to reach out to us at contact.us@itcinfotech.com to report any such incidents that you may have experienced, please use the subject line “Recruitment Fraud Alert” in your message.

Always exercise caution and stay protected against fraud:

  • Do not pay money or transfer funds to anyone toward securing an ITC Infotech job. ITC Infotech will not accept liability for any losses that may have been suffered by the victims of such fraudulent activities.
  • Be careful when sharing your personal information and protect yourself from potential damage. Do not engage with people who fraudulently misrepresent ITC Infotech or its employees/officers and try to solicit payments under the pretext of offering jobs.

View Current Openings

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