Explore a conference talk that delves into the development of a match-making algorithm for Go-Jek's diverse product offerings. Learn how the company tackled the challenge of targeting millions of monthly active users in Indonesia with relevant promos and vouchers across 20+ products and services. Discover the process behind creating a generalized model that analyzes user transaction history to predict and rank the services customers are most likely to use next. Gain insights into the use of PySpark to overcome challenges, and understand the impact of this algorithm on conversion rates. The presentation covers the problem statement, classification model, recommendation systems, utility matrix, and final workflow, concluding with an interview question.