Method and system for performing multi-dimensional combined retrieval on enterprise information

An enterprise information, multi-dimensional technology, applied in the field of multi-dimensional combined retrieval of enterprise information, methods and systems, can solve problems such as time-consuming, labor-intensive, inability to effectively locate, and inability to meet user needs, to ensure accuracy, The effect of reducing bounce rate and improving experience

Pending Publication Date: 2021-12-07
苏州八纮科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] When retrieving information related to an enterprise on the Internet, it is often impossible to effectively locate the information that users need. When retrieving, not only need to superimpose a large number of keywords, but also require users to filter one by one, which is very time-consuming and labor-intensive, and requires a certain amount of searching. Skills, for ordinary users who do not have retrieval skills, they often cannot retrieve the corresponding enterprise information, resulting in the situation that they cannot meet the needs of users. Therefore, a method and method for multi-dimensional combined retrieval of enterprise information is proposed. Its system meets the needs of users through multi-dimensional combination retrieval

Method used

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  • Method and system for performing multi-dimensional combined retrieval on enterprise information
  • Method and system for performing multi-dimensional combined retrieval on enterprise information
  • Method and system for performing multi-dimensional combined retrieval on enterprise information

Examples

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Embodiment 1

[0036] A method for multi-dimensional combined retrieval of enterprise information, specifically comprising the following steps:

[0037] Step 1. Basic construction: build a fastapi+python microservice framework, collect enterprise information on the Internet through the docker engine, and construct a dictionary of the collected enterprise information through NLP related technologies to generate an initial search tag library corresponding to enterprise information;

[0038] Step 2. Improve learning: import the initial search tag library corresponding to the enterprise information generated in step 1 into the bert model, input the enterprise information sentence into the bilstm+crf model architecture, and compare the search tags stored in the initial search tag library according to the output results Carry out fine-tuning, after perfecting the dictionary constructed in step 1, extend the adjusted search tags to the initial search tag library in step 1 to form a fine-tuned search...

Embodiment 2

[0042] This embodiment, as an improvement of the previous embodiment, is a method for multi-dimensional combined retrieval of enterprise information, which specifically includes the following steps:

[0043] Step 1. Basic construction: Build the microservice framework of fastapi+python, collect enterprise information on the Internet through the docker engine, and construct a dictionary of the collected enterprise information through NLP related technologies. It should be noted that NLP related technologies specifically include Text retrieval, for large-scale data retrieval; machine translation, for cross-language translation; text classification; information extraction, for extracting desired information from irregular text; Words / phrases are marked with corresponding tags; text summaries are used to focus on the most core parts from a given text and automatically generate summaries; generate an initial search tag library corresponding to enterprise information. It should be no...

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Abstract

The invention discloses a method and a system for performing multi-dimensional combined retrieval on enterprise information. The method specifically comprises the following steps: 1, constructing a foundation; 2, carrying out learning perfection; 3, carrying out searching and displaying; 4, carrying out searching and optimizing. The invention relates to the technical field of information retrieval. According to the method and the system for performing multi-dimensional combination retrieval on the enterprise information, enterprise related information data is collected through the Internet, a dictionary is constructed by an NLP related technology, a bert + bolstm + crf model architecture is adopted to learn a perfect recognition method, a technical framework based on a fasti python micro-service framework + docker + NLP and deep learning is formed, enterprise information is identified by utilizing an intelligent identification algorithm, and retrieval service is provided in a multi-dimensional combined retrieval mode, so a large number of retrieval skills are not needed, the requirements of a large number of users can be met, the experience feeling of the users is improved, the website jumping rate is reduced, and a positive help is provided for website ranking.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a method and system for multi-dimensional combined retrieval of enterprise information. Background technique [0002] When retrieving information related to an enterprise on the Internet, it is often impossible to effectively locate the information that users need. When retrieving, not only need to superimpose a large number of keywords, but also require users to filter one by one, which is very time-consuming and labor-intensive, and requires a certain amount of searching. Skills, for ordinary users who do not have retrieval skills, they often cannot retrieve the corresponding enterprise information, resulting in the situation that they cannot meet the needs of users. Therefore, a method and method for multi-dimensional combined retrieval of enterprise information is proposed. Its system meets the needs of users through multi-dimensional combined retrieval. Conte...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F16/28G06F16/2457G06F16/953
CPCG06F16/283G06F16/953G06F16/2457
Inventor黄永辉袁石良
Owner苏州八纮科技有限公司