A personalized information retrieval module for retrieving learning materials

The World Wide Web is composed of a large amount of learning content and an e-learner can retrieve learning materials from the Web. The different learners may have different learning requirements. Because the preferences and learner´s requirement can vary greatly across individuals, a personalized retrieval system must be tailored so that it should be able to provide a learner with learning materials that he requires. The retrieval system should decide whether a document is relevant to the learner based on the curriculum requirement, the learner profile and the type of the learning material. We have implemented an information retrieval system for retrieving learning materials to satisfy the learners´ need. To retrieve the personalized search results, the system looks into the learner profile, the domain knowledge and the automatically metadata annotated documents retrieves from the Web. To evaluate the performance of the system, many queries were processed out by our system.