Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (11): 1667-1672.DOI: 10.12068/j.issn.1005-3026.2019.11.026

• Management Science • Previous Articles    

Hotel Selection Based on Information of Hotel Features and Online Ratings

TAO Ling-ling, YOU Tian-hui, YUAN Yuan   

  1. School of Business Administration, Northeastern University, Shenyang 110169, China.
  • Received:2019-01-31 Revised:2019-01-31 Online:2019-11-15 Published:2019-11-05
  • Contact: YOU Tian-hui
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Abstract: 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.

Key words: hotel features information, online ratings information, directed and weighted graph, PageRank, hotel selection

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