Personalized Course Navigation Based on Grey Relational Analysis |
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| Authors: | Hahn-Ming Lee Chi-Chun Huang Tzu-Ting Kao |
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| Affiliation: | (1) Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, 106, Taiwan, Republic of China;(2) Department of Information Management, National Kaohsiung Marine University, Kaohsiung, 811, Taiwan, Republic of China;(3) Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, 106, Taiwan, Republic of China |
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| Abstract: | Web personalization has quickly changed from a value-added facility to a service required in presenting large quantities of information because individual users of the Internet have various needs and preferences in seeking information. This paper presents a novel personalized recommendation system with online preference analysis in a distance learning environment called Coursebot. Users can both browse and search for course materials by using the interface of Coursebot. Moreover, the proposed system includes appropriate course materials ranked according to a user s interests. In this work, an analysis measure is proposed to combine typical grey relational analysis and implicit rating, and thus a users interests are calculated from the content of documents and the users browsing behavior. This algorithms low computational complexity and ease of adding knowledge support online personalized analysis. In addition, the user profiles are dynamically revised to provide efficiently personalized information that reflects a users interests after each page is visited. |
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| Keywords: | personalized course navigation Coursebot grey relational analysis weighted grey relational analysis measure content-based filtering |
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