{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:46:16Z","timestamp":1776811576166,"version":"3.51.2"},"reference-count":28,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,12,19]]},"abstract":"<jats:p>As the technical demand-supply text information increases rapidly in electric power technology transfer, traditional matching methods could no longer meet the need. To solve this problem, this paper proposed a new technical demand-supply matching method based on electric power technical field feature. First, the improved TF-IDF algorithm was used to extract technical field feature, then scientific and technological achievements with higher relevancy were retrieved based on technical field feature to build a background library of electric power technological achievements, and the matching degree of electric power technological achievements based on word vector was used to verify the matching efficiency of this method. We adopted the China smart grid technical transaction service platform and the text message of electric power technical demand and technological achievements on Keyi net for application, and the results indicate this method has raised the matching efficiency by 23.4% compared to traditional methods. In this paper, a new idea of taking technical field feature as the demand-supply matching basis of electric power technology transfer platform was proposed, which opens a new perspective for the research of demand-supply matching efficiency on electric power technology transfer platform, helps to promote the matching efficiency of technical demand and technological achievements, and further raises the success rate of electric power technology transfer.<\/jats:p>","DOI":"10.3233\/jcm-226229","type":"journal-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T11:37:50Z","timestamp":1660649870000},"page":"2343-2357","source":"Crossref","is-referenced-by-count":0,"title":["Study on online demand-supply matching of electric power technology based on technical field feature"],"prefix":"10.66113","volume":"22","author":[{"given":"Lihui","family":"Zhang","sequence":"first","affiliation":[{"name":"Technology and Science Administration Office, North China Electric Power 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Words relation based word vector model. Journal of Chinese Information Processing. 2017; 31(3): 25-31."},{"issue":"12","key":"10.3233\/JCM-226229_ref17","first-page":"229","article-title":"LDA topic model based text similarity calculation","volume":"40","author":"Wang","year":"2013","journal-title":"Computer Science."},{"key":"10.3233\/JCM-226229_ref18","unstructured":"Li X. Several problems in topic mode-based multi-label text classification and streaming text data modelling. Jilin University, 2015."},{"issue":"11","key":"10.3233\/JCM-226229_ref19","first-page":"4224","article-title":"Topic feature-based keyword extraction","volume":"29","author":"Liu","year":"2012","journal-title":"Application Research of Computers."},{"key":"10.3233\/JCM-226229_ref20","doi-asserted-by":"crossref","unstructured":"Yang X, Xu S, Wu H, Bie R. Sentiment Analysis of Weibo Comment Texts Based on Extended Vocabulary and Convolutional Neural Network. 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