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

作　　者：张元旺 刘帅 赵长开 邵文博 ZHANG Yuanwang;LIU Shuai;ZHAO Changkai;SHAO Wenbo(School of Information Engineering,Institute of Disaster Prevention,Langfang 065201,China)

机构地区：[1]防灾科技学院信息工程学院,河北廊坊065201

出　　处：《现代信息科技》2024年第22期63-67,共5页Modern Information Technology

基　　金：防灾科技学院2023大学生创新创业项目(S202311775064)。

摘　　要：近年来,随着地震相关技术的快速发展,地震行业对地震设备的管理要求越来越高。传统的管理系统,由于信息化和智能化程度不高,速度慢效率低,满足不了现代化管理要求。针对上述问题,文章分析了当前地震信息数据的特点,设计了基于ElasticSearch分布式数据库和融合多源信息的智能推荐算法,实现了高效的地震信息推荐系统。该系统克服了传统信息管理系统中查询速度慢,以及无法准确获取地震信息等问题,有着推荐精度高、快速查询等优点,具有较高的应用价值。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 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]