Unlock instant, AI-driven research and patent intelligence for your innovation.

Industry hotspot recommendation method and system

A recommendation method and hotspot technology, applied in neural learning methods, biological neural network models, and other database retrievals, etc., can solve the problems of low efficiency of industry hotspot discovery and poor accuracy of recommended topic selection.

Pending Publication Date: 2022-03-25
SHENZHEN POWER SUPPLY BUREAU
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method and system for recommending industry hotspots to solve the technical problems of low efficiency in finding industry hotspots in existing methods and poor accuracy in recommending topics

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Industry hotspot recommendation method and system
  • Industry hotspot recommendation method and system
  • Industry hotspot recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] Such as figure 1 As shown in , it is a schematic diagram of an embodiment of a method for recommending industry hotspots provided by the present invention. In this embodiment, the method includes the steps of:

[0049] Collect the target data of each target data source; and preprocess the target data according to the preset preprocessing rules; that is, deploy distributed web crawlers to capture power industry news consultation, enterprise dynamics, Announcements, journal papers and other professional content resources, and archive the collected HTML article content into the text queue to be cleaned according to professional classification, business theme, source, and date, and divide the HTML text into a hierarchical document tree.

[0050] In a specific...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an industry hotspot recommendation method and system, and the method comprises the steps: collecting target data of each target data source; pre-processing the target data according to a preset pre-processing rule; inputting the preprocessed target data as an input quantity into a pre-trained recommendation model for calculation to obtain hot keywords; and counting the occurrence frequency of the hot keywords in a preset time period, sorting the hot keywords according to the occurrence frequency, and outputting a sorting result as an industry hotspot recommendation result. According to the method, multi-level and multi-audience mass heterogeneous content data such as internal reference, news, dynamics, work reports, academic journal papers and the like which are continuously published are collected as industry corpus data; through a preset training model, enterprise managers are helped to continuously and comprehensively analyze, discover and mine key points, hotspots and development trend trends of the industry from a basic level to a region.

Description

technical field [0001] The present invention relates to the technical field of natural pre-language processing, in particular to a method and system for recommending industry hotspots. Background technique [0002] At present, there are a large number of document writing needs such as news articles, notices, reports, etc. in the industry. Document writers need to spend a lot of manpower to analyze and screen the writing materials from the massive stored documents. There are many problems such as omissions, time-consuming, laborious, etc., and the writing efficiency is low. , the burden on the grassroots is heavy. [0003] Among the existing methods, algorithms are used to solve the fresh hot spots of the industry and enterprises, analyze the trends of organizations at all levels of the enterprise, provide hot spot analysis, hot news compilation, and new event news compilation functions for relevant personnel or users, and assist in intelligence collection. , to provide anci...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/335G06F16/215G06F16/35G06F16/9535G06F16/958G06F40/14G06F40/216G06K9/62G06N3/04G06N3/08
CPCG06F16/335G06F16/9535G06F16/958G06F16/215G06F16/355G06F40/14G06F40/216G06N3/084G06N3/044G06F18/241G06F18/214
Inventor 许冠中
Owner SHENZHEN POWER SUPPLY BUREAU