Netflix Recommendations Feature Engineering with Time TravelHua Jiang and Kedar Sadekar talked about feature engineering using time rewinding in the context of Netflix Recommendations at an ML Platform meetup at LinkedIn HQ. Jan 24, 2018
Distributed Time Travel for Feature Generation
We want to make it easy for Netflix members to find great content to fulfill their unique tastes. To do this, we follow a data-driven algorithmic approach based on machine learning, which we have described in past posts and other publications. We aspire to a day when anyone can sit down, turn on Netflix, and the absolute best content for them will automatically start playing. While we are still wa
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