Using Online Consumer Reviews as a Source for Demographic Recommendations: A Case Study Using Online Travel Reviews

Expert Systems with Applications, 2013

24 Pages Posted: 29 Mar 2013

See all articles by Nikolaos Korfiatis

Nikolaos Korfiatis

University of East Anglia (UEA) - Norwich Business School

Marios Poulos

Ionian University

Date Written: January 1, 2013

Abstract

Online consumer reviews play an important role in the decision to purchase services online, mainly due to the rich information source they provide to consumers in terms of evaluating “experience”-type products and services that can be booked using the Internet, with online travel services being a significant example. However, different types of travelers assess each quality indicator differently, depending on the type of travel they engage in, and not necessarily their cultural or age background (e.g. solo travelers, young couples with children etc.). In this study, we present architecture for a demographic recommendation system, based on a user-defined hierarchy of service quality indicator importance, and classification of traveler types. We use an algebraic approach to ascertain preferences from a large dataset that we obtained from the popular travel website Booking.com using a web crawler and compared with the customer-constructed preference matrix. Interestingly, the architecture of the evaluated recommendation system takes into account already defined demand characteristics of the hotels (such as the number of reviews of specific consumer types compared to the total number of reviews) in order to provide an example architecture for a recommendation system based on user-defined preference criteria.

Keywords: Online reviews, Experience Goods, User preferences, Recommender Systems, Demographic Recommendations

Suggested Citation

Korfiatis, Nikolaos and Poulos, Marios, Using Online Consumer Reviews as a Source for Demographic Recommendations: A Case Study Using Online Travel Reviews (January 1, 2013). Expert Systems with Applications, 2013. Available at SSRN: https://ssrn.com/abstract=2240506

Nikolaos Korfiatis (Contact Author)

University of East Anglia (UEA) - Norwich Business School ( email )

Norwich
NR4 7TJ
United Kingdom

Marios Poulos

Ionian University ( email )

7, Rizospaston Voulefton av.
49100 Corfu
Greece

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
118
Abstract Views
571
rank
245,379
PlumX Metrics