OLX is the largest online classifieds marketplace in Brazil. We help millions of Brazilians to sell and find products and services every day. Unlike the majority of the existing recommendation systems, most of the time we have unique items that can be consumed by only one user. Besides, we have a flow of more than a thousand new ads per minute. Those singular differences give us many peculiar challenges from mainstream solutions. In this talk we are going to explain how our recommendation system works, trade-offs of our approach and our newest research lines to face those challenges.
Short Bio
Tiago Albineli Motta has been working with software development for twenty years, and for the last six years he has been working with Big Data and Machine Learning in the development of recommendation systems, advertising segmentation, multi armed bandit systems and churn identification. He is currently a machine learning engineer on the OLX Search and Recommendation team.