Recommender systems are being deployed everywhere to deliver personalized experiences.
Siraj Raval, a former software engineer at Meetup and CBS Interactive, recently launched an entertaining yet informative YouTube channel called Sirajology aimed to inspire and equip developers to build the future.
His recent tutorial video explains how you can create a recommender system in just 10 lines of C++ code using Amazon’s DSSTNE deep learning framework and GPUs in the Amazon Web Services cloud.
Interested in deep learning? Check out these other GPU-accelerated deep learning projects.
Easily Build Your First Movie Recommender System
May 30, 2016
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Related resources
- DLI course: Building Intelligent Recommender Systems
- GTC session: Merlin Updates - Build and Deploy Recommender Systems at Any Scale (Spring 2023)
- GTC session: Building Session-Based Recommendation Models with NVIDIA Merlin* (Spring 2023)
- NGC Containers: DLI Recommender Systems Course - Base Environment
- Webinar: NVIDIA NGC Jupyter Notebook Day: Recommender System
- Webinar: Overview of the NVIDIA Merlin Recommendation Framework
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