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– Intro to Episode Five
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Classroom Contents
Building a Winning Deep Learning Recommender System - Grandmaster Series Episode 5
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- 1 – Intro to Episode Five
- 2 – Booking.com Challenge Overview & Summar
- 3 – Matrix Factorization Ensemble Overview
- 4 – Model One, MLP with Session-Based Matrix Factorization
- 5 – Model Two, GRU with MultiStage Session-based Matrix Factorization
- 6 – Model Three, XLNet with Session-based Matrix Factorization
- 7 – Combing All Three Models into One Ensemble
- 8 – Data Augmentation Approach
- 9 – NVIDIA Merlin is an End-2-End Library for GPU-Accelerated Recommender Systems
- 10 – Q&A Session
