ML-Powered Search and Recommendation 101

ML-Powered Search and Recommendation 101

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00:00 Introduction and Overview

1 of 9

1 of 9

00:00 Introduction and Overview

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ML-Powered Search and Recommendation 101

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  1. 1 00:00 Introduction and Overview
  2. 2 00:55 Importance of Search and Recommendation Systems
  3. 3 01:38 Evaluating System Goals
  4. 4 02:32 System Architecture
  5. 5 04:40 Candidate Generation and Ranking
  6. 6 09:02 Ranking Models and Challenges
  7. 7 15:49 Design Principles for Scalability
  8. 8 20:11 Trends in Recommendation Systems
  9. 9 22:40 Conclusion and Final Thoughts

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