Predicting without Knowing

When a new user arrives on your website, providing recommendations without data-sets about their interests and tastes can be challenging.  This is what we would categorize as a cold-start problem.

To solve the cold start problem, we implement deep content extraction with cross-channel pattern recognition and innovative machine learning algorithms. Combined, these unique approaches provide a solution for creating personalized recommendations with limited data sets on user tastes & preferences.

Simply put, you can use Recommendation Engines anywhere you’d consider making an offer to a brand new consumer!