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What is Personalized Ranking in Web Databases about?

This dissertation presents a holistic, similarity-based approach for personalized ranking in web databases, focusing on improving information retrieval from unstructured sources. It introduces a novel Query-By-Keywords (QBK) method to generate queries from user inputs and a similarity-based framework to rank query results based on user preferences. The effectiveness of this framework is validated through experimental evaluations on real-world databases, demonstrating its potential to enhance user experience

Author

vitkul240581

Language

EN