MACHINE LEARNING APPROACH FOR DETERMINING DOCUMENT RELEVANCE FOR SEARCHING LARGE-SCALE COLLECTION OF ELECTRONIC DOCUMENT

摘要

PROBLEM TO BE SOLVED: To provide a system and methodology that applies automated learning procedures for determining document relevance and assisting information retrieval activities. SOLUTION: The system includes a storage component that receives a set of human selected items to be employed as positive test cases of highly relevant documents. A training component trains at least one classifier with the human selected items as positive test cases and one or more other items as negative test cases in order to provide a query-independent model, wherein the other items are selected by a statistical search, for example. COPYRIGHT: (C)2005,JPO&NCIPI