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Answering Form-Based Web Queries Using the - ResearchGate

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The document presents a data-mining approach to enhance the retrieval of relevant answers to form-based web queries. It addresses the limitations of traditional keyword-based query systems by utilizing previous related queries and their answers to improve precision and recall rates. The authors introduce concepts such as item trees and inferred rules, which are used to rewrite user queries for better results. Experimental results demonstrate that this method achieves high true positive rates (over 80%) while maintaining low false positive rates (below 2%). The approach is applicable to various web query-processing systems without requiring prior knowledge of underlying data schemas.

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