Ecommerce recommendation engine

We’ve built a custom product recommendation system for one of the largest social platform for shopping. The system allows our client to recommend the right products and increases upsell and cross-sell opportunities, without relying on generic external systems. A complex ensemble of trained ML models include collaborative filtering models, natural language processing using deep recurrent neural net

  • software development


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Project Size

$25,001 to $50,000

Technologies Used

  • bigdata
  • java
  • python

Client

Retail

e-commerce Company

Warsaw, Poland

Company Size : less than 10 employees

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