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    • 56. 发明申请
    • DOCUMENT BASED QUERY AND INFORMATION RETRIEVAL SYSTEMS AND METHODS
    • US20170322930A1
    • 2017-11-09
    • US15597993
    • 2017-05-17
    • Jacob Michael Drew
    • Jacob Michael Drew
    • G06F17/30
    • G06F16/338G06F2216/11
    • Disclosed herein are systems and methods for document based query and information retrieval which rapidly locate similar documents within a document corpora providing a document based search result to the search initiator including one or more estimated measures of similarity for each search result item and appropriate search result document metadata. After providing document based similarity approximation search results, the system also rapidly retrieves and determines more accurate measures of similarity, including the relevant document terms and term statistics used to determine an exact measure of similarity, between the document based query document term collection and individual search result document term collections using one or more computing devices, that are application and platform independent, participating in a distributed multicore processing environment. One or more web clients transmit document based query and information retrieval requests to one or more restful services which provide the document based search results to the search initiator via stateless HTTP responses and requests. Dimensionality reduction techniques are used to limit the total number of similarity approximations and document term data similarity calculations performed during both nearest neighbor pre-processing and document based searches. The systems and methods disclosed include document based query and information retrieval embodiments providing document search results to the search initiator which include the details supporting exactly how two documents are, in fact, similar using a given particular document based query and a specific measure for document based similarity.