JACIII Vol.22 No.6 pp. 978-988
doi: 10.20965/jaciii.2018.p0978


Research on the Price of Online Short-Term Rental Rooms Based on Fusion of User Reviews

Heyong Wang and Rong Cui

Department of E-Business, South China University of Technology
B10 Panyu District, Guangzhou, Guangdong 510006, China

January 26, 2018
August 3, 2018
October 20, 2018
emotion of user reviews, hedonic price regression model, online short-term rental rooms

With the rapid development of the Internet and travel market, the availability of online short-term rental rooms has emerged, making good use of limited room resources. In current research, only structured data of room characteristics, such as the location of the room, are considered in the price of the room. As unstructured textual data, online user’s reviews containing the emotional responses of users influence the price of online short-term rental rooms. In this research, user reviews are considered in a hedonic price regression model to improve the performance of regression. First, structured room characteristics are input to build a traditional hedonic price regression model. Then, fusion of emotion scores transformed from unstructured user reviews is input to build a fusion hedonic price regression model. Finally, the traditional model and the fusion model are compared statistically. Experimental results indicate that the fusion of user reviews can improve the performance of hedonic price regression model.

Cite this article as:
H. Wang and R. Cui, “Research on the Price of Online Short-Term Rental Rooms Based on Fusion of User Reviews,” J. Adv. Comput. Intell. Intell. Inform., Vol.22 No.6, pp. 978-988, 2018.
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