Building E-University recommendation system

Recommendation System (RS) helps users (learners, educators etc.) choose quality and important content and activities in E-University Environment. This paper briefly analyses related work in application of recommendation models in E-Learning environments, enhances existing recommendation model and suggests possible usage in E-University System (EUS). Our RS is based upon main concepts of FlexRecs recommendation engine, using multiple data sources and working with multiple subsystems of EUS. The architecture of RS consists of four main parts: Workflow Manager, Query Parser, Recommendation Plan Generator and Recommendation Generator. For the presentation of recommendation results, intuitive graphical user interface is designed, and also a Suggestion Preference Module (SPM), which provides users the ability to define specific parameters for the current used workflow.