Improving the multidimensional sequencing of hotel rooms on an online travel agency web site
作者：
Highlights：
• A proposed model optimally sequences hotel choices and determines the number of choices.
• A new approach, stochastic programming model (with uncertain customer arrival), is used.
• The multi-preferences of customers are incorporated to maximize the users’ expected net utility gained.
• Numerical results are tested with survey data of customers and OTA’s hotel characteristic.
• The model can be practically applied to evaluate the directions of improvement for a hotel.
摘要
•A proposed model optimally sequences hotel choices and determines the number of choices.•A new approach, stochastic programming model (with uncertain customer arrival), is used.•The multi-preferences of customers are incorporated to maximize the users’ expected net utility gained.•Numerical results are tested with survey data of customers and OTA’s hotel characteristic.•The model can be practically applied to evaluate the directions of improvement for a hotel.
论文关键词：Hotel recommendation,Online hotel booking,Online review,Online travel agency,Multi-criteria decision,Multi-dimensional sequencing,Multi-preference consumer,Stochastic programming
论文评审过程：Received 11 March 2016, Revised 25 March 2016, Accepted 25 March 2016, Available online 26 March 2016, Version of Record 31 March 2016.
论文官网地址：https://doi.org/10.1016/j.elerap.2016.03.002
