Intelligent query system for automatically indexing in a database and automatically categorizing users

作者: Kristopher E. Nybakken , Brian L. Hazlehurst , Scott M. Burke

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摘要: An intelligent Query Engine (IQE) system automatically develops multiple information spaces in which different types of real-world objects (e.g., documents, users, products) can be represented. Machine learning techniques are used to facilitate automated emergence represented as vectors real numbers. The then delivers users based upon similarity measures applied the representation these spaces. simultaneously classifies products, and other objects. Documents managed by collators that act classifiers overlapping portions database documents. Collators evolve meet demands for delivery expressed user feedback. Liaisons on behalf elicit from population collators. This is presented logging into via Internet or another communication channel. Mites handle incoming documents sources in-house editorial staff, third-party news feeds, large databases, World Wide Web spiders) feed those provide a good fit new

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