Airbnb has been adapting its ranking algorithm for its map interface to better connect guests with hosts. Initially, the ranking algorithm was based on booking probabilities, but this approach doesn't work for maps where user attention is spread equally across pins. To improve user experience, Airbnb tested different models of user attention, including restricting the number of map pins and creating two tiers of pins based on booking probabilities. These changes led to significant improvements in bookings and user satisfaction. The company also developed an algorithm to re-center the map to showcase listings with the highest booking probabilities, which further improved bookings and reduced map moves. Despite these advancements, there is still a challenge in representing the full range of available listings on the map, which is a focus for future work.