Metrics and Experimentation

How would you build and test a metric to compare two user's Netflix "recommended lists" of movie/tv show preferences?

Data Scientist

Meta

Amazon

Netflix

Google

Stripe

TikTok

Did you come across this question in an interview?

  • How would you build and test a metric to compare two user's Netflix "recommended lists" of movie/tv show preferences?
  • What kind of factors would you consider when building a metric to compare two user's Netflix recommended lists of movie/tv show preferences?
  • If you were tasked with building a metric to compare two user's Netflix recommended lists of movie/tv show preferences, how would you approach this challenge?
  • Could you outline your process for creating and testing a metric that compares two user's Netflix recommended lists of movie/tv show preferences?
  • How would you design and test a metric to compare two user's Netflix recommended lists of movie/tv show preferences.
  • From your point of view, what are some key elements to consider when constructing a metric to compare two user's Netflix recommended lists of movie/tv show preferences?
  • Imagine you're building a metric to compare two user's Netflix recommended lists of movie/tv show preferences. What factors would you prioritize in the development process?
  • When creating a metric to compare two user's Netflix recommended lists of movie/tv show preferences, what steps would you take to ensure its reliability and accuracy?
  • What steps would you take to test and validate a metric designed to compare two user's Netflix recommended lists of movie/tv show preferences?
  • Could you walk me through how you would design a metric to compare two user's Netflix recommended lists of movie/tv show preferences?

Interview question asked to Data Scientists interviewing at Intuit, Netflix, Reddit and others: How would you build and test a metric to compare two user's Netflix "recommended lists" of movie/tv show preferences?.