社会网络下基于在线评论的旅游供应商优选研究

Research on Tourism Supplier Selection Based on Online Comments in Social Networks

在线旅游平台上评论规模庞大,信息量浩如烟海,平台如何依据他人评论信息为游客提供最优旅游供应商,从而使游客得到满意的服务体验是亟待解决的问题。在社会网络视角下,基于在线评论和概率语言提出一种旅游供应商的优选方法。首先,采集旅游平台上的游客评论数据,运用TF-IDF方法提取各供应商相关评论的关键词,通过筛选整理形成主题并计算其权重;然后,分析每条评论的情感值,并将其转换成概率语言术语集的形式;最后,构建游客群体社会网络,将游客群体意见与在线评论信息相结合,运用PROMETHEE-Ⅱ方法对旅游供应商进行优选排序。结果表明,本文方法推荐结果与旅游平台数据基本一致,但能在相似评分的供应商中做出优劣比较,精准有效地提供最优供应商,且简单可靠。

The online tourism platforms have a large scale of comments and a vast amount of information.How to provide the best travel supplier for tourists based on the comments of others,so as to obtain satisfactory service experience is an urgent problem to be solved.From the perspective of social network,a tourism supplier selection method based on online comments and probabilistic language is proposed.Firstly,the data of tourists'comments on the tourism platform were collected,and the TF-IDF method was used to extract keywords related to the comments of each supplier,form the theme through screening and sorting,and calculate their weights.Secondly,the sentiment value of each comment is analyzed and converted into the form of probabilistic linguistic term sets.Finally,the social network of tourists group is constructed,the opinions of tourist groups and online comments are combined,and the PROMETHEE-II method is used to prioritize the tourism suppliers.The experimental results show that the recommendation results of the proposed method are basically consistent with the data of the tourism platform,but it can make a comparison of advantages and disadvantages among suppliers with similar ratings,accurately and effectively provide the best supplier,and it is simple and reliable.