Full-platform automatic document retrieval system based on artificial intelligence
An artificial intelligence and automatic retrieval technology, which is applied to network data retrieval, other database retrieval, digital data information retrieval, etc., can solve problems such as not combining user habits, inability to achieve refined screening, and insufficient intelligence of document correlation
Pending Publication Date: 2021-08-06
湖南通远网络股份有限公司
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Problems solved by technology
[0003] However, for document retrieval, it does not combine user habits, nor is it intelligent enough to determine the relevance of documents, and cannot achieve sufficiently refined screening; based on this, a solution is now provided
Method used
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[0069] Such as figure 1 As shown, an artificial intelligence-based full-platform document automatic retrieval system includes a demand input unit, a demand analysis unit, a verification unit, a login unit, a processor, a display unit, a data retrieval unit, a retrieval check unit, a search unit, and a retention unit. library and test analysis unit;
[0070] Wherein, the requirement entry unit is used for the user to enter target information, and the target information includes a document field and a target introduction; the document field is specifically the field corresponding to the required document, and the target profile is a brief description of the corresponding required document;
[0071] The login unit is used to collect the login information of the user, and the login information includes user account number, key, fingerprint, and face information; the login unit is used to transmit the login information to the verification unit, and the verification unit is used to ...
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The invention discloses a full-platform automatic document retrieval system based on artificial intelligence. The full-platform automatic document retrieval system comprises a demand input unit, a demand analysis unit, a verification unit, a login unit, a processor, a display unit, a data retrieval unit, a retrieval and reverification unit, a searching unit, a retention library and a test analysis unit. The demand input unit is used for inputting target information by a user, wherein the target information comprises a literature field and a target brief introduction; then, a login unit is used for collecting login information of a user, a verification unit is used for randomly verifying the login information, and a permission signal is generated according to a verification result; the demand analysis unit works when receiving the permission signal transmitted by the verification unit, and receives the target information transmitted by the demand input unit; simplification processing is performed on the target information to obtain simplified information composed of the key information and the literature field; and then retrieval related operation is carried out in the Internet by means of a data retrieval unit in combination with an exploring unit to obtain a final selected document.
Description
technical field [0001] The invention belongs to the field of document retrieval, in particular to an artificial intelligence-based full-platform document automatic retrieval system. Background technique [0002] Patent Publication No. CN1871605 discloses a retrieval device for retrieving related documents based on keywords included in a question as a retrieval request in the form of a question from a user. The retrieval means extracts, as a first summary, a description related to the keyword and contained in the retrieved document. The summary extracting unit extracts, as a second summary, a description corresponding to an answer matching a question type of the question determined by the question type determining unit from original document data forming a document indicated by the document retrieval result. The original document data is included in the original document data stored in the original document database and forming each document targeted for retrieval. The inte...
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Patent Timeline
Login to View More IPC IPC(8): G06F16/335G06F16/332G06F16/953G06F21/32G06F21/62
CPCG06F16/335G06F16/3329G06F16/953G06F21/6218G06F21/32
Inventor 夏峰
Owner 湖南通远网络股份有限公司