基于云平台的海量旅游信息智能推送系统设计  

Design of Intelligent Push System for Massive Tourism Information Based on Cloud Platform

作　　者：杨晖[1] 赵歆[2] YANG Hui;ZHAO Xin(College of Information Engineering,Kaili University,Guizhou Kaili 556000,China;GuiZhou Vocational Technology College of Electronics&Information,GuizhouKaili 556000,China)

机构地区：[1]凯里学院信息工程学院,贵州凯里556000 [2]贵州电子信息职业技术学院,贵州凯里556000

出　　处：《新一代信息技术》2019年第19期49-53,共5页New Generation of Information Technology

基　　金：黔东南州科技计划项目“智慧旅游信息服务云平台的研究”(项目编号:黔东南科合J字[2018]008号)。

摘　　要：为了提高海量旅游信息智能推送能力,提出基于云平台的海量旅游信息智能推送系统设计方案。构建海量旅游信息大数据采样模型,以旅游用户兴趣为数据样本集,进行海量旅游信息样本重构,提取海量旅游信息的关联特征量,构建海量旅游信息的特征提取和分布式检测模型,采用关联规则挖掘方法进行海量旅游信息的特征挖掘和自适应匹配,实现海量旅游信息与用户的兴趣偏好自动匹配,结合自适应学习算法实现海量旅游信息推送过程中的优化学习,提高海量旅游信息的自动推送能力,在嵌入式的Linux内核和云平台中实现海量旅游信息智能推送系统的软件开发设计。仿真结果表明,采用该方法进行海量旅游信息推送的自适应性较好,推送的准确度较高,提高了海量旅游信息智能推送和控制能力。In order to improve the intelligent push ability of massive tourism information,a design scheme of intelligent push system of massive tourism information based on cloud platform is proposed.The big data sampling model of massive tourism information is constructed,and the massive tourism information sample is reconstructed,the association feature quantity of massive tourism information is extracted,the feature extraction and distributed detection model of massive tourism information is constructed,the feature mining and adaptive matching of massive tourism information are carried out by using association rule mining method,and the automatic matching between massive tourism information and users'interest preference is realized.Combined with adaptive learning algorithm to realize the optimal learning in the process of mass tourism information push,improve the automatic push ability of massive tourism information,and realize the software development and design of intelligent push system of massive tourism information in embedded Linux kernel and cloud platform.The simulation results show that the method has good adaptability and accuracy,and improves the intelligent push and control ability of massive tourism information.

关 键 词：云平台 海量旅游信息 智能推送 特征匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]