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Data mining techniques for web personalization: algorithms and applications
Gulden Uchyigit
University of Brighton
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Chapter in Book/Conference proceeding with ISSN or ISBN
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Keyphrases
All-phase
50%
Classification Phase
50%
Data Mining Techniques
100%
Information Overload
25%
Interest Preferences
25%
Personalization
25%
Personalization Algorithms
100%
Personalization Process
100%
Rich Semantics
50%
Semantic Bases
25%
Semantic Information
50%
Semantic Web
25%
User Interest
25%
User Modeling
50%
User Needs
25%
User Preference
25%
Web Personalization
100%
Computer Science
Data Mining Algorithm
50%
Data Mining Technique
100%
Data Processing
100%
Semantic Web
50%
User Modeling
100%