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

Evolution of recommender systems with technology

With the advancements in technology, research, and infrastructure, recommender systems have been evolving rapidly. Recommender systems are moving away from simple similarity-measure-based approaches, to machine-learning approaches, to very advanced approaches such as deep learning. From a business angle, both customers and organizations are looking toward more personalized recommendations to be catered for immediately. Building personalized recommenders to cater to the large user base and products, we need sophisticated systems, which can scale easily and respond fast. The following are the types of recommendations that can help solve this challenge.

Mahout for scalable recommender systems

As stated ...

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