Case Study: Building a Hybridized Collaborative Filtering Recommendation Engine

A technical paper of how Rue La La built a personalized shopping experience with Databricks
Case Study: Building a Hybridized Collaborative Filtering Recommendation Engine

With more than 20 million customers and a distinctive experience, Rue La La has transformed the e-commerce world with curated boutique shopping, private member-only deals, and new personalization technologies. The secret to their unique and engaging experience is building upon the power of big data analytics.



In this eBook, learn how Rue La La tackled the challenge of building a powerful recommendation engine that would bring a personalized shopping experience to the masses. Read this eBook to learn:


  • How Rue La La identified their key objectives and platforms to build on.
  • Why and how they implemented a Collaborative Filtering Model for recommending products.
  • What technical challenges were faced and where further improvements can be made.

Get the eBook to learn more.


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