Smart recommendation for tourist hotels based on multidimensional information: a deep neural network model

Authors

Huosong Xia, Wuhan Textile University
Wuyue An, Wuhan Textile University
Genwang Liu, Tongji University
Runjiu Hu, Zhengzhou University
Justin Zuopeng Zhang, University of North FloridaFollow
Yuan Wang, Wuhan Textile University

Document Type

Article

Publication Date

1-1-2021

Abstract

Most hotel recommendation systems currently rely on text-based information or meta-data. We develop a deep network recommendation model with three modalities–picture, review, and scoring.We propose a unifified deep neural network including an embedding layer, pooling layer, and fully connected layer. Comparing with other algorithms, we verify its efficacy in improving travel recommendations based on the hotel data crawled from Ctrip and the major evaluation indicators. Our study contributes to the literature by building a knowledge model for tourist hotels based on the analysis of user-generated data and providing practical guidance for hotel managers and users.

Publication Title

Enterprise Information Systems

Digital Object Identifier (DOI)

10.1080/17517575.2021.1959651

ISSN

17517575

E-ISSN

17517583

Citation Information

Huosong Xia, Wuyue An, Genwang Liu, Runjiu Hu, Justin Zuopeng Zhang & Yuan Wang (2021) Smart recommendation for tourist hotels based on multidimensional information: a deep neural network model, Enterprise Information Systems, DOI: 10.1080/17517575.2021.1959651