Abstract
With the considerable development of tourism market, as well as the expansion of the e-commerce platform scale, increasing tourists often prefer to select tourism products such as services or hotels online. Thus, it needs to provide an efficient decision support model for tourists to select tourism products. Online reviews based on the user experience would help tourists improve decision efficiency on tourism products. Therefore, in this study, a quantitative method for hotel selection with online reviews is proposed. First, with respect this problem with online reviews, by analyzing sentiment words in online reviews, tourists’ sentiment preferences are transformed into the format of distribution linguistic with respect to sentiment levels. Second, from a theoretical perspective, we proposed a method to determine the ideal solution and nadir solution for distribution linguistic evaluations. Next, based on the frequency of words for evaluating hotel and the distribution linguistic evaluations, the weight vector of the evaluation features is determined. Further, a novel DL-VIKOR method is developed to rank and then to select hotels. Finally, a realistic case from TripAdvisor.com for selecting hotel is used to demonstrate practically and feasibility of the proposed model.
Highlights
As the time for the era of big data is coming, E-commerce sites have expanded rapidly
Liang et al Hotel selection utilizing online reviews: a novel decision support model access the tourism websites to obtain the accommodations about their travel destinations so as to find the desirable hotel
After obtaining the evaluations in format of distribution linguistic for alternative hotels and the evaluation features, we propose a novel DL-VIKOR method to ranking the alternative hotels
Summary
As the time for the era of big data is coming, E-commerce sites have expanded rapidly. Thanks to the e-commerce platform of tourism industry, tourists can. X. Liang et al Hotel selection utilizing online reviews: a novel decision support model access the tourism websites to obtain the accommodations about their travel destinations so as to find the desirable hotel. Liang et al Hotel selection utilizing online reviews: a novel decision support model access the tourism websites to obtain the accommodations about their travel destinations so as to find the desirable hotel Nowadays, many websites, such as TripAdvisor.com (https:// www.tripadvisor.com/), Tuniu.com (http://www.tuniu.com/) and Qunar.com Since the complexity and subjectivity of online reviews in e-commerce platform, it is not very easy for a tourist to identify the most desirable tourism hotel. The topic orientated online reviews to evaluate and select desirable tourism hotel is significant
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