现代信息科技2024，Vol.8Issue(22)：63-67,5.DOI:10.19850/j.cnki.2096-4706.2024.22.013
基于ElasticSearch和融合多源信息的地震信息推荐系统的设计与实现
Design and Implementation of an Earthquake Information Recommendation System Based on ElasticSearch and Fused Multi-source Information
摘要
Abstract
In recent years,with the rapid development of the related technologies of earthquake,the management requirements for the earthquake equipment in earthquake industry have become increasingly higher.Due to the low level of informatization and intelligence,traditional management systems have slow speed and low efficiency,failing to meet the requirements of modern management.In response to the above problems,this paper analyzes the characteristics of current earthquake information data,designs an intelligent recommendation algorithm based on the ElasticSearch distributed database and fused multi-source information,and realizes an efficient earthquake information recommendation system.This system overcomes the problems of slow query speed and inability to accurately obtain earthquake information in traditional information management systems,and has the advantages of high recommendation accuracy and fast queries,and it is of high application value.关键词
ElasticSearch/地震信息/智能推荐Key words
ElasticSearch/earthquake information/intelligent recommendation分类
信息技术与安全科学引用本文复制引用
张元旺,刘帅,赵长开,邵文博..基于ElasticSearch和融合多源信息的地震信息推荐系统的设计与实现[J].现代信息科技,2024,8(22):63-67,5.基金项目
防灾科技学院2023大学生创新创业项目(S202311775064) （S202311775064）
