User interests mining based on Topic Map

Abstract

In this paper, we propose a method for mining user interests based on topic map in an e-learning system. It is now widely assumed that in personalized information area user interests plays an important role in document recommendation. User interests generally reflect the user background and topics of interests. Topic Maps is an ISO standard for the representation and interchange of knowledge, which builds a structured semantic web on the layer of information resources. In an e-learning system, topic maps can provide a good semantic model for the course document. Besides with the help of the topic maps, we can build an exact model for user interests. Because in an e-learning system, we can get the users' log and users' learning condition from the server. Thus the system adopts interest mining technology and can automatically identify the learner's interests and recommend interest-related resources. In this paper, we only focus on interests mining and interests modeling. The interest modeling system using new approach based on topic map is more effective.