OLX's Journey to a Relevant Search

Leonardo Wajnsztok • Location: Conference Room and Online • Back to Haystack 2021

In this presentation, we’ll talk about OLX’s journey to a relevant search that fits well with our classifieds business model. We went from a simple search engine with really poor results to a new search model that can return highly relevant results and also solves a lot of the problems that come together with the application of traditional methods. We’ll explain some of the problems associated with our use case and show what we did to solve each of those problems. From simple to more complex solutions like the application of default BM25, bayesian optimization and finally a new method we like to call “Term Podium”! We’ll also talk about how we measured our success with metrics such as NDCG, diversity and novelty together with business metrics.

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Leonardo Wajnsztok

Leonardo is a Senior Software Engineer in the Search & Recommendation team at OLX Brasil, an online marketplace platform. Before joining OLX, he has worked with data science, IoT and robotics. Currently, he is completing his Master's degree in NLP.