The following information was submitted:
Transactions: NUMERICAL SCHEMES AND METHODS IN SCIENCE AND ENGINEERING
Transactions ID Number: 10-178
Full Name: Bujar Raufi
Position: Assistant
Age: ON
Sex: Male
Address: Ilindenska nn 1200, Tetovo, F.Y.R of Macedonia
Country: MACEDONIA, FORMER YUGOSLAV REPUBLIC OF
Tel: +389 44 356 168
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E-mail address: b.raufi@seeu.edu.mk
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Title of the Paper: Generating Content Recommendation for Adaptive Web-Based Systems
Authors as they appear in the Paper: Bujar Raufi , Juliana Georgieva, Artan Luma, Florije Ismaili, Xhemal Zenuni
Email addresses of all the authors: b.raufi@seeu.edu.mk, july@tu-sofia.bg,a.luma@seeu.edu.mk,f.ismaili@seeu.edu.mk,xh.zenuni@seeu.edu.mk
Number of paper pages: 10
Abstract: Traditional approaches on attacking adaptation issue in adaptive web based systems are very complex seen from the perspective of their design and development. The lack of effective general purpose adaptation algorithm for adaptive web sites renders it applicable only in isolated cases like virtual education or e-commerce. In this work, an algorithmic formalism towards adaptation, by utilizing web site's link structure and similarity matrix has been introduced. The revealed results indicate a good performance on per-user based adaptation as well as adaptation for groups or clusters of users.
Keywords: Adaptive Web Sites, Adaptation algorithm, Document similarity, Clustering, Data mining
EXTENSION of the file: .doc
Special (Invited) Session: An Adaptation Algorithm for Adaptive Web Based Systems based on Link Structure and Document Similarity
Organizer of the Session: 634-516
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IP ADDRESS: 62.162.7.214
