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Considering that travel agencies will pay attention to the demand information and electronic word-of-mouth(e-WOM)development trend of each alternative hotel when choosing partners, a method for hotel partner selection is proposed based on both information. First, the directed and weighted graph is constructed, in which the weight of the node is determined based on the demand information. Further, a time weight correction coefficient that considers the horizontal and vertical development trends of the alternatives’ e-WOM information is proposed to calculate the weight of each stage, and the TOWGA operator is used to calculate the attribute performance of each alternative hotel. By comparing the e-WOM attribute performance, the directed edge and its weight are determined. Then, the algorithm for calculating the ranking value of the alternative hotels is given based on PageRank. Finally, an example is used to verify the feasibility and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

In order to assist tourists to select hotels through tourism websites, a method for selecting desirable hotels is proposed based on features information and online ratings information of alternative hotels provided by tourism websites. Firstly, the directed and weighted graph of alternative hotels is constructed, in which hotel features are weighted objectively by the maximum deviation method based on hotel features information and then the node weights of directed weighted graph are determined by the simple weighting method. The directed edge and its weight are determined by comparing the online ratings information of node hotels. Then, the algorithm for calculating the sorting value of alternative hotels is given based on the principle of PageRank algorithm. Finally, in order to verify the effectiveness and feasibility of the proposed method, a case study on desirable hotel selection is proposed based on the information of hotel features and online ratings from the Booking, com website. [ABSTRACT FROM AUTHOR]