Concept-Based Pages Recommendation by Using Cluster Algorithm

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Title:	Concept-Based Pages Recommendation by Using Cluster Algorithm
Authors:	Chi, Chen-Chung;Kuo, Chin-Hwa;Lu, Ming-Yuan;Tsao, Nai-Lung
Contributors:	淡江大學學習與教學中心;淡江大學資訊工程學系
Keywords:	collaborative filtering;content filtering;recommendation system
Date:	2008-07
Issue Date:	2011-10-24 11:26:42 (UTC+8)
Abstract:	In this research, we used a proxy server to search for information related to the userpsilas browsed Web pages. From the records of the proxy server we constructed a profile of the userpsilas browsing habits. At the end of the userpsilas search subsystem, we will use content based concept to extract keywords to obtain the articlepsilas characteristicspsila description. From the recommendation system, the Web pages will be classified using the hierarchical grouping method, and through collaborative filtering, the recommendation Web pages will be chosen to provide further readings for students language learning.
Relation:	Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on, pp.298-300
DOI:	10.1109/ICALT.2008.214
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding [Center for Learning and Teaching] Proceeding

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