Recommendation Engines

Recommender systems take data collected on existing user behaviors, and use it to determine what users might also like. It’s a very technical version of what humans do intuitively—we might recommend an ice cream shop to a friend with a sweet tooth, but a coffee place to another friend who is avoiding carbs. By using past behavior of a large number of people we can predict the taste preferences of an individual.

Creating a User-Based Recommender
Creating a User-Based Recommender   Prerequisites Create a java project in your favorite IDE and make sure mahout is on the classpath. The easiest wa...
Sun, 28 Sep, 2014 at 8:03 PM