A Novel Data Mining Testbed for User Centred Modelling and Personalisation of Digital Library Services

Keyphrases

• User-centered 100%
• Library Services 100%
• Personalization 100%
• User Experience 100%
• Digital Library System 100%
• Digital Library Services 100%
• Confidentiality 50%
• Data Mining Techniques 50%
• Diverse Needs 50%
• Large Amount of Data 50%
• Classification Basis 50%
• Information Services 50%
• Technology Tools 50%
• K-nearest 50%
• Nave Bayes 50%
• Open Source Technology 50%
• Automatic Approach 50%
• User Segments 50%
• Digital Libraries 50%
• Preference-based 50%
• Multimedia Resources 50%
• Borrowing Behavior 50%
• Text Resources 50%
• Behavioral Modeling 50%
• Data Mining Strategy 50%

Computer Science

• Data Mining 100%
• Library Service 100%
• Testbed 100%
• Digital Library 100%
• User Experience 50%
• Digital Library System 50%
• Multimedia 25%
• Data Mining Algorithm 25%
• Information Service 25%
• Nave Bayes 25%
• Open Source Technology 25%
• Automatic Approach 25%
• Technology Tool 25%
• K-Nearest Neighbor Classification 25%
• User Segmentation 25%