Mastering Multilingual Recommender Systems - Grandmaster Series

Mastering Multilingual Recommender Systems - Grandmaster Series

NVIDIA Developer via YouTube Direct link

– Multilingual Transfer Learning

8 of 14

8 of 14

– Multilingual Transfer Learning

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Classroom Contents

Mastering Multilingual Recommender Systems - Grandmaster Series

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  1. 1 – Introduction
  2. 2 – Overview & Summary of the Challenge
  3. 3 – 2-Stage Recommender Systems Pipeline
  4. 4 – Stage 1 for Tasks 1 & 2: Candidate Generation & Co-Visitation Matrices
  5. 5 – Stage 1: Training Product Embedding
  6. 6 – Stage 2 for Tasks 1 & 2: Pipeline Summary
  7. 7 – Stage 2: Reranker model - Feature Selection & Engineering
  8. 8 – Multilingual Transfer Learning
  9. 9 – Task 3: Next Product Title Generation Solution
  10. 10 – Q&A Session
  11. 11 – Q&A: Challenges of Using Embedding
  12. 12 – Q&A: Unexpected Findings
  13. 13 – Q&A: Critical Model Improvements
  14. 14 – Q&A: Differences from OTTO Multi-Objective RecSys Competition

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