tailieunhanh - Lecture Notes in Computer Science- P11

Lecture Notes in Computer Science- P11:This year, we received about 170 submissions to ICWL 2008. There were a total of 52 full papers, representing an acceptance rate of about 30%, plus one invited paper accepted for inclusion in this LNCS proceedings. The authors of these accepted papers came from many different countries. | 40 X. Wang F. Yuan and L. Qi many kinds of available relations. In this scenario how to use the semantic explicit relations among the resources in the education portal to make better recommendation becomes a new challenge. In this paper we propose a complementary study on using the relations between resources and other entities in education portal to do recommendation. Therefore we separate this problem to the following two problems 1. Formalize the recommendation problem in the education portal 2. Using relations of the resources and other typed entities to do better recommendation in education portal. For an education portal the recommendation usually happens when a user enters the portal. A user can enter the portal by logining in or just using a guest account anonymous viewer for the web page . In these two scenarios recommendation is needed to choose the important learning resources in the education portal to be displayed in the first web page when users enter the portal. In this paper we mainly focus on this kind of recommendation. By calculating the important rank of each learning resource we can decide which resources should be placed in the recommendation block of the portal to attract users. Advantages of the proposed approach are as follows 1. It can make use of the resources relations in the education portal. The relations can be dynamically added and removed 2. The approach is easily adapted to recommend other types of entities for example to recommend categories. An example of the resources relation diagram is as figure 1 Fig. 1. An example of the learning resources relations Recommendation in Education Portal by Relation Based Importance Ranking 41 The rest of the paper is organized as follows in section 2 we formalize the recommendation of education portal in this paper. In section 3 the proposed important ranking approach is presented in detail. In section 4 we analyze the experimental results. Finally after giving the related works in section 5 we