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Method for document retrieval based on feedback

A document retrieval and document technology, applied in the field of document retrieval and webpage information service, can solve the problems of underutilization, achieve convenient selection, improve retrieval performance and user experience

Inactive Publication Date: 2015-11-25
薛德军
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This information is very valuable for improving subsequent retrieval performance, but the current database retrieval does not make full use of this valuable information

Method used

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  • Method for document retrieval based on feedback
  • Method for document retrieval based on feedback
  • Method for document retrieval based on feedback

Examples

Experimental program
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Embodiment Construction

[0016] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0017] figure 1 It is a flow chart of the document retrieval function based on feedback. Such as figure 1 As shown, in order to carry out literature research, the reader constructs and processes 11 search expressions to construct search expressions, and performs word segmentation and combination processing on the search expressions, then starts to perform search operations 12, and returns a large number of records that meet the requirements of the search expressions. Readers use various sorting, grouping, and screening tools provided by the database system to find useful documents, and click to browse the abstracts of these useful documents. If there are indeed valuable documents, the full text will be downloaded for further reading and research. The retrieval information record 13 records the retrieval formula, document browsing, document downloadin...

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Abstract

The invention aims to provide a method for document retrieval based on feedback. When readers perform retrieval, retrieval information and various metadata knowledge deeply processed by a database are recorded according to a predetermined structure, initial retrieval information is subjected to dynamic knowledge mining, the information is converted into retrieval knowledge and the retrieval knowledge is stored or updated to a reader retrieval knowledge model according to a predetermined knowledge structure, and the retrieval knowledge comprises retrieval topic knowledge, classification knowledge, tracking time knowledge and other knowledge. In the follow-up retrieval process, and the knowledge feedback stored in the retrieval knowledge model is fully utilized to help optimize retrieval expression construction and retrieval result display, including the operation of supplementing or recommending the retrieval topic knowledge to a retrieval expression and adding the classification knowledge, tracking time knowledge and other knowledge to the retrieval range or retrieval result display. Through continuous iteration, the retrieval knowledge model reflects reader retrieval requests dynamically and helps to improve follow-up retrieval performance and user experience.

Description

technical field [0001] The invention relates to the field of document retrieval and web page information service. Background technique [0002] In recent years, in order to facilitate readers to find content from massive databases, database manufacturers have continuously improved the retrieval function and performance of databases. The main method is to provide more retrieval item selection and combination methods through in-depth processing of document metadata, or through Knowledge mining, which organizes massive unordered documents through various internal knowledge relationships, enables readers to start from any document and statically expand and link to other content. These methods all focus on how to process the content well and improve the retrieval function, but do not consider the dynamic retrieval environment generated when the reader retrieves, and a large amount of useful information generated during the retrieval process. [0003] When readers conduct literat...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/338G06F16/3322
Inventor 薛德军
Owner 薛德军
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