Data Science

Easily Build Your First Movie Recommender System

May 30, 2016

By Brad Nemire

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.

Related resources

DLI course: Building Intelligent Recommender Systems
GTC session: Build a Next-Generation Generative Recommendation Engine Based on Torch
GTC session: How to Build Multimodal Agentic AI Retrieval Systems
NGC Containers: DLI Recommender Systems Course - Base Environment
NGC Containers: retail-shopping-advisor-chatbot-service
NGC Containers: Merlin PyTorch

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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.

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