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QuoteRef: pratW7_1999
topics >
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Topic:
information retrieval by relevance
Topic:
information retrieval by searching
Topic:
information retrieval with queries
Topic:
classification
Topic:
information retrieval by topic
Topic:
taxonomy
Reference
Pratt, W., Hearst, M.A., Fagan, L.M., "A knowledge-based approach to organizing retrieved documents", AAAI-99 Sixteenth National Conference on Artificial Intelligence, Orlando, Florida, USA, July 1999, American Association for Artificial Intelligence, pp. 80-85. Google
80 ;;Quote: specific queries are inappropriate for broad information needs with many relevant documents
80 ;;Quote: automatic categorization of search results by a small model of queries and a large, domain-specific terminology model; DynaCat for medicine
82 ;;Quote: nine query types for frequently-asked medical questions; e.g., treatment-problems and problem-preventive-actions
82 ;;Quote: assign a category type for each query type; assign medical semantic types to category types; e.g., 'headache' to 'problems'; use common parent for sub-groups
82 ;;Quote: compared automatic categorization to clustering and ranking; more answers, liked better, ranked best
Topic: information retrieval by relevance (33 items)
Topic: information retrieval by searching (35 items)
Topic: information retrieval with queries (18 items)
Topic: classification (65 items)
Topic: information retrieval by topic (16 items)
Topic: taxonomy (16 items)