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Proactive Natural Language Search Engine: Tapping into
Structured Data on the Web
Welshing Wu
University of North Carolina at Charlotte. WU×UNC.abstract
In this era of big data, a key challenge facing
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What is proactive natural language search?
Proactive natural language search is a search method that anticipates the user's information needs and provides relevant results before the user even asks for them.
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Businesses and organizations that collect and store large amounts of data are required to file proactive natural language search.
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Proactive natural language search can be filled out by using advanced search algorithms and machine learning techniques to analyze and retrieve relevant information.
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The purpose of proactive natural language search is to improve user experience by providing timely and accurate information without the user having to explicitly ask for it.
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Proactive natural language search must report on relevant data sources, search terms used, and the algorithm used to generate results.
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