An Artificial Neural Network Technique for On-Line Hotel Booking

18 Pages Posted: 9 Apr 2012

See all articles by Renato Bettin

Renato Bettin

affiliation not provided to SSRN

Francesco Mason

Ca Foscari University of Venice - Department of Management

Marco Corazza

Ca Foscari University of Venice - Dipartimento di Economia

Giovanni Fasano

Ca Foscari University of Venice - Department of Management

Date Written: October 2, 2011

Abstract

In this paper the use of Artificial Neural Networks (ANNs) in on-line booking for hotel industry is investigated. The paper details the description, the modeling and the resolution technique of on-line booking. The latter problem is modeled using the paradigms of machine learning, in place of standard `If-Then-Else' chains of conditional rules. In particular, a supervised three layers MLP neural network is adopted, which is trained using information from previous customers' reservations. Performance of our ANN is analyzed: it behaves in a quite satisfactory way in managing the (simulated) booking service in a hotel. The customer requires single or double rooms, while the system gives as a reply the confirmation of the required services, if available. Moreover, we highlight that using our approach the system proposes alternative accommodations (from two days in advance to two days later with respect to the requested day), in case rooms or services are not available. Numerical results are given, where the effectiveness of the proposed approach is critically analyzed. Finally, we outline guidelines for future research.

Keywords: On-line booking, hotel reservation, machine learning, supervised multilayer perceptron networks

JEL Classification: C80, C63

Suggested Citation

Bettin, Renato and Mason, Francesco and Corazza, Marco and Fasano, Giovanni, An Artificial Neural Network Technique for On-Line Hotel Booking (October 2, 2011). Department of Management, Università Ca' Foscari Venezia Working Paper No. 10/2011, Available at SSRN: https://ssrn.com/abstract=2037481 or http://dx.doi.org/10.2139/ssrn.2037481

Renato Bettin

affiliation not provided to SSRN ( email )

Francesco Mason (Contact Author)

Ca Foscari University of Venice - Department of Management ( email )

San Giobbe, Cannaregio 873
Venice, 30121
Italy

Marco Corazza

Ca Foscari University of Venice - Dipartimento di Economia ( email )

Cannaregio 873
Venice, 30121
Italy

Giovanni Fasano

Ca Foscari University of Venice - Department of Management ( email )

San Giobbe, Cannaregio 873
Venice, 30121
Italy

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