Gorse - Self-hosted Recommender System Engine, Written in Go

Gorse - Self-hosted Recommender System Engine, Written in Go

In the digital age, personalization is king. Whether it's streaming your favorite shows, shopping online, or reading articles, the content you see is often curated just for you. This magic happens through something called a recommendation system—a powerful tool that helps predict what you might like based on your past behavior and preferences.

What is a Recommendation System?

A recommendation system is a software tool that analyzes data to suggest products, services, or content to users. It’s what powers Netflix’s movie suggestions, Amazon’s product recommendations, and Spotify’s playlist creations.

These systems work by sifting through vast amounts of data to identify patterns and preferences, delivering a personalized experience that keeps users engaged.

What is Gorse?

Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be quickly introduced into a wide variety of online services. By importing items, users, and interaction data into Gorse, the system will automatically train models to generate recommendations for each user.

Gorse's Workflow

Gorse is more than just a recommendation system—it’s a gateway to building personalized experiences that can transform your business. Start exploring Gorse today and see how it can help you deliver content that truly resonates with your users.

Features

  • Multi-source: Recommend items from Popular, latest, user-based, item-based and collaborative filtering.
  • AutoML: Search the best recommendation model automatically in the background.
  • Distributed prediction: Support horizontal scaling in the recommendation stage after single node training.
  • RESTful APIs: Expose RESTful APIs for data CRUD and recommendation requests.
  • Online evaluation: Analyze online recommendation performance from recently inserted feedback.
  • Dashboard: Provide GUI for data management, system monitoring, and cluster status checking.
  • Easy to install using Docker

Why choose Gorse?

  • Scalable and High Performance: Gorse is optimized for handling large datasets and delivering real-time recommendations, making it suitable for applications with heavy traffic.
  • Flexibility: Supports a variety of algorithms and can be easily customized to fit different use cases, whether you need collaborative filtering, content-based recommendations, or hybrid models.
  • Open-Source: As an open-source project, Gorse is free to use, modify, and integrate into your existing systems. It benefits from continuous community contributions and improvements.
  • Easy Integration: Gorse provides APIs and clear documentation, making it straightforward to integrate into your applications, whether you’re building an e-commerce site, a news portal, or a streaming service.
  • Community and Support: With a growing community, Gorse offers support through forums, GitHub issues, and contributions from developers worldwide.

License

Apache-2.0 License

Resources & Downloads

Home
Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user.
GitHub - gorse-io/gorse: Gorse open source recommender system engine
Gorse open source recommender system engine. Contribute to gorse-io/gorse development by creating an account on GitHub.







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