ApacheCon EU 2014

Recommender Systems are engines aimed at predicting users preferences based, e.g., on knowledge about past behaviors of similar users. Recommender Systems have become very popular in the recent years, e.g., to suggest products to buy, articles to read or music to listen. One of the main advantages of Recommendations is that they allow users to discover items that a simple search might not show up. This is one of the reasons why Recommendation engines have become a desirable, if not essential, component of commercial platforms.

In this presentation, Anahita Goljahani will discuss the design of a Recommender System for Apache OFBiz (http://ofbiz.apache.org/), the popular solution for the automation of business applications (ERP, CRM, MRP, E-Commerce, etc.).