Recommendation Engine

In this blog series, I will write about Recommender systems from basics to advanced. Follow along.

Introduction We recently took part in the Kaggle H&M Personalized Fashion Recommendations competition where we were challenged to build a recommendation engine that would predict which articles a customer would buy in a particular week starting on September 23, 2020. “Dataism points out that exactly the same mathematical laws apply to…

by Thea Sokolowski, Head of Marketing & Communications​ Problem: When vehicle subscription platform FlexClub began offering private subscriptions to individual customers, they needed a fast and secure way to assess potential customers’ affordability and recommend vehicles that fell within their budgets. Stitch solution: With Stitch Financial Data, customers can easily…

Understanding Recommendation Engines A recommendation engine uses algorithms to predict a user’s choice and then offer suggestions to the user, helping them find the thing that may interest them the most. As a result, these recommendations help optimize the user experience so they get what they want faster. Discussing how a recommendation engine…

When shopping in an ecommerce platform, one of the most important factors that make you purchase any item is how quickly are you able to locate the item you want to buy. One of the popular ways in which ecommerce platforms achieve this is through recommendation systems (also known as…

Recommending products from a seller who has just joined our platform can be difficult. Here’s how we build trust, & help sellers showcase products. — I know quick-commerce is the rage nowadays, but I still prefer buying my groceries at the supermarket. That’s just me 🙏🏻 When I went shopping last weekend, the sabjiwala offered me the usual: cauliflower, spinach, brinjal, etc. …