基于大数据分析的旅游微博用户偏爱研究  

Research of Algorithmon Tourism Microblog Users' Favorite Click Paths Based on Big Data Analytics

作　　者：曹炜[1] 蒋文明 Cao Wei;Jiang Wenming

机构地区：[1]滁州学院地理信息与旅游学院

出　　处：《滁州学院学报》2019年第1期41-44,共4页Journal of Chuzhou University

基　　金：安徽省高校人文社会科学重点研究项目(SK2015A439)

摘　　要：为在巨量数据下挖掘旅游微博用户的偏爱链路,分析了传统偏爱链路算法在巨量数据背景下存在的挖掘能力不足等问题,通过重新评判用户浏览兴趣与点击量的真实关系,对已有的网络拓扑算法进行了改进,提出了一种基于大数据分析的旅游微博用户偏爱链路计算方法。研究结果表明:基于大数据分析的旅游微博用户偏爱链路算法在互联网巨量数据下较传统算法有更高的计算速度和更高的计算准确度。In order to find out the tourism microblog users’ favorite click paths from the massive data, the traditional method short of ability to perform well in dealing with massive data was researched. As the real relationship between users’ interest point and the click data was evaluated, the method to improve the traditional network topology algorithm was found. Depending on the analyses, a new algorithm to calculate the users’ interest click paths based on big data analytics was put forward. The results of the study show that: the algorithm of users’ favorite click paths based on big data analytics is more accurate than the traditional method in the huge data and has a better efficiency.

关 键 词：旅游微博 大数据分析 偏爱链路 算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]