Building the First Samwise Recommendation Algorithm
At Samwise, we set out to solve a common but complex problem in the real estate world: helping users find the most relevant properties quickly and efficiently. Instead of showing users a raw list of properties based on simple filters like price and location, we wanted to deliver something much more intelligent — an algorithm that would rank properties based on user preferences, predicted market dynamics, and recency. This is the story of how we built our first recommendation algorithm from scratch, the challenges we faced, and the solutions we developed along the way.
