Predicting Estimated Time of Arrival (ETA) Reliability [Lyft] - podcast episode cover

Predicting Estimated Time of Arrival (ETA) Reliability [Lyft]

Sep 09, 202411 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

In this episode, we will discuss the importance of ETA for ridesharing apps and the challenges of providing a reliable ETA to users upfront. We delved into the practices of the machine learning team at Lyft, examining how they developed a solution to address this unique challenge using a lightweight machine learning model.

For more details, you can refer to their published tech blog, linked here for your reference: https://eng.lyft.com/eta-estimated-time-of-arrival-reliability-at-lyft-d4ca2720bda8

For the best experience, listen in Metacast app for iOS or Android