Abstract:

Recommending and distributing individualized learning resources to students has rarely been supported by distance learning systems.This paper fills the gap and presents an individualized resource retrieval system based on JADE platform that provides recommended learning resources to different users.Resource distribution matrix and user’s interest vector were created for user attribute model to match and rank resources in the system.The preliminary experiments with the prototype indicated that there was an increase in the precision of individualized resources retrieved as the model improved with the accumulation of users’ queries.

Key words: individualized character;user attribute model;precise retrieval;positive scheduling