O'Reilly logo

Building Recommendation Engines by Suresh Kumar Gorakala

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Hybrid recommender systems

Collaborative filtering systems and content-based recommender systems are effective and cater to a wide range of needs. They have quite successful implementations but each independently has its own limitations. Research has started moving in the direction of combining both collaborative filtering and content-based recommendations. This new type of recommender system formed by combining collaborative filtering with content-based methods is called a hybrid recommender system.

The choice of combining the different recommendation approaches is up to the researcher or the person implementing the hybrid recommendation engine based on the problem statement and business needs.

The most common approaches followed for building a ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required