Build accurate, personalized models for recommender systems using Weights & Biases
Trusted by the teams building the largest models
Spotify, the world’s largest and most popular music streaming service, uses W&B to collaborate globally and manage music streaming recommendations across different genres and countries.
StitchFix, the market leader innovator in personal styling service, uses W&B to monitor the fine-tuning of their OpenAI models to help improve how to understand client feedback.
Pandora (Sirius XM Radio), a pioneer in personalized music recommendations, saves a lot of time - and headaches - by creating hyperparameter sweeps that run automatically in W&B.
Scale your models to service your growing customer base
As your number of customers and users grow, the complexity of the recommender system will scale exponentially with the number of large scale models feeding into the system. Weights & Biases is built to handle large-scale, complex models, allowing you to feed and train more data and run significantly more experiments to continuously fine-tune the personalizations your system serves up.
Move fast without worrying about what’s being left behind
Models for recommender systems need to be built, maintained, and updated as quickly as consumer trends and choices are changing. Weights & Biases allows ML practitioners to move fast in building and deploying models faster than ever, with worrying about critical mistakes or reproducibility gaps thanks to enterprise-grade model versioning.
Build trusted, explainable models
Personalizations from recommender systems are all about building trust with your customers. With Weights & Biases’ continuous insights into model behavior and bias detection, you can be sure that your models and systems will be explainable and fair. This not only builds credibility with users but also checks off important compliance requirements with regulatory bodies.
SOC 2 compliance, encryption, security, and more
Weights & Biases prioritizes data privacy and security with our SOC 2 Type II certification, encrypted data, endpoint, and network, and robust security controls. When you’re working with sensitive, personal customer data and shopping habits, you can trust us to keep that data and those models safe.
Work securely in your chosen environment
Deploy Weights & Biases in whatever manner makes the most sense for your Recommender Systems, with deployment options including a multi-tenant cloud, a single-tenant cloud, and customer-managed private deployments. Whether you need a fast and flexible deployment, or have more stringent enterprise-level security requirements, we can provide custom permissions and data obfuscation to fit the privacy protocols you need.
See W&B in action
Recommender Systems using Hugging Face & NVIDIA
Leveraging JAX for Recommendation Systems
