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