The Universal Recommender (UR) is able to use almost anything known about the user to make recommendations better. It takes in user actions, profiles, context, and item metadata, all of which it uses to improve predictive quality. Other publicly available recommenders cannot do this, in fact the UR is one of a new generation of multimodal recommenders that have obsoleted most of the older technology.
Own your own data and your own future. You may need the technology but you don't have to pay for it by using the SaaS tech from the big names. The Open Source Universal Recommender gives you the flexibility you need.
Use all your data
The Universal Recommender can take in user actions, profile data, contextual information, virtually a user's entire clickstream, add that to content and meta-data to gain a deep understanding of user preferences, when others cannot.
The Universal Recommender has extremely flexible but simple queries for most any situation. It is also open source built so you can choose the hosting environment that works for you—start simple or customize any way that suits you.
Own your data and model
Your data is your competitive advantage. With The Universal Recommender, you keep it private. Some SaaS vendors see this differently—not us. SaaS providers also charge for their operations—something you may not need.
It’s open source with no vendor lock-in. You can customize the code to fit your needs at anytime. You can't do that with AWS, Google, or Azure services.
Practical solutions, powerful examples.
Personalized Recommendations, Shopping Cart Recommendations, Similar Products, Complementary Products, and Popular Items all using realtime data and a single engine.
Personalized Content Recommendations, News, Video, User-Generated Content. You can even recommend categories or topics.
Search Augmentation and Personalization. Turn your data into better—truly personalized—search results.