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Knowledge and classification of sources for user-generated data, mining and analysis of Web content and structure, mining and analysis of social media, mining of user behaviour and feedback (explicit and implicit), recommender systems, strategies for personalisation of content and user interfaces, context-aware search, retrieval, and recommendation
Practical project: Using real-world, user-generated data, students will conduct a pattern classification project that requires data extraction, data analysis, feature definition, training of various classifiers, and systematic experimentation.
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