摘要
针对传统旅游信息的智能协同处理方法,存在协同过程准确度偏低、时延较长的问题,提出基于大数据分析的旅游信息智能协同方法.分析大数据下旅游信息智能协同系统,根据时间序列网络数据分析结果,分析旅游信息协同的非线性时间序列,依据大数据拟合结果,找到旅游数据的映射规律.依据数据规律分析协同旅游特点计算旅游特征、旅游相似度、旅游过滤等方面,以此对提高系统时效性进行研究.实验证明,基于大数据分析的旅游信息智能协同方法抗干扰能力强、时效性强,对大数据分析的海量信息研判策略高,能够快速、准确对旅游信息进行分类,提取出用户需要的旅游产品.该系统设计满足了旅游系统对大数据分析信息的处理需求.
In view of the intelligent cooperative processing method of traditional tourism information, there is a problem of low accuracy and high delay in collaborative process. An intelligent tourism information cooperative method based on large data analysis is proposed. This paper analyzed the intelligent collaborative system of tourism information based on big data a nalysis. According to the analysis results of time series network data, We analyzed the nonlinear time series of tourism infor marion synergy, and found the mapping rule of tourism data based on the result of big data fitting. According to the rule of data, we analyzed the characteristics of collaborative tourism, calculated the tourism characteristics, tourism similarity and tourism filtering, so as to improve the timeliness of the system. The experiment proved that the intelligent collaborative method of tourism information based on big data analysis has strong anti interference ability and strong timeliness. It has high judgement strategy for massive data analysis of massive data, and it can classify tourist information quickly and accu rately, and extract the tourism products that users need. The system is designed to meet the needs of the tourism system for processing large data analysis information.
作者
方敏
FANG Min(Tourism College of Zhejiang,Hangzhou 310000,China)
出处
《周口师范学院学报》
CAS
2018年第5期100-103,共4页
Journal of Zhoukou Normal University
关键词
大数据分析
旅游信息
智能协同
系统设计
large data analysis
tourism information
intelligent cooperative
system design
