With hundreds, even thousands, of hotels to choose from at every destination, it's difficult to know which will suit your personal preferences. Expedia wants to take the proverbial rabbit hole out of hotel search by providing personalized hotel recommendations to their users. This is no small task for a site with hundreds of millions of visitors every month! Currently, Expedia uses search p...

In this project we explored varieties of supervised machine learning methods for the purpose of sentiment analysis on TripAdvisor hotel reviews. We experimented and explored with the factors that affect accuracy of the predictions to develop a satisfying review analyzer. We focus on not only the overall opinions but also aspect based opinions including service, rooms, location, value, cleanline...

A lot of effort has been made in the last decades to reveal, which hotel attributes guest care about. Due to the high costs that are typically involved with investments in the hotel industry, it makes a lot of sense to study, which product components the travellers appreciate. This study reveals that hotel attribute research turns out to be a wide and extremely heterogeneous field of research. ...

This study assesses the influence of managerial responses to online customer reviews on product sales. We leverage a natural experiment provided by two online travel agencies. Both agents allow customers to post reviews on hotels, but only one of the travel agents allows hotel management to post managerial responses. Using a difference-in-difference approach, we find that managerial responses h...

Although there is considerable interest in the advance bookings model as a forecasting method in the hotel industry, there has been little research analyzing the use of an advance booking curve in forecasting hotel reservations. The mainstream of advance booking models reviewed in the literature uses only the bookings-on-hand data on a certain day and ignores the previous booking data. This emp...

Using an Importance}Performance Analysis (IPA), this paper examined business and leisure travellers' perceived importance and performance of six hotel selection factors in the Hong Kong hotel industry. The six hotel selection factors identi"ed were: Service Quality, Business Facilities, Value, Room and Front Desk, Food and Recreation, and Security. Both business and leisure travellers held the ...

OBJECTIVES To determine the presence of legionellae and species composition of the genus Legionella in Sri Lankan hotel cooling towers, and to determine the previous exposure of hotel workers to Legionella pneumophila. DESIGN Collection of water samples from 16 cooling towers of air conditioning plants from 7 representative hotels, and blood samples from hotel workers. SETTING Department of...

As many travelers use online for their travel arrangement, hotels provide online reservation system, so as to take the benefits of internet marketing such as the cost reduction. However, there has been minimal research regarding a detailed examination of hotel booking Web sites and e-service performance on customers’ reuse intentions for online hotel reservation. This paper thus examines the ef...

Discusses and analyses the latest generation of information kiosks, Kiosks 21, which features information provision/promotion, interaction, transaction and relationships. In contrast to their task based predecessors, these kiosks focus on customer service delivery to ̳customers in context‘. Five case studies of such kiosks located respectively in an airport, railway station, car rental base, ho...

The outlook is that the bad times for the hotel industry may be coming to an end. Many experts during this economic decline have declared that the drop in aggregate demand and the Internet incursion has resulted in hotel brands ceasing to be important. Consequently, conventional wisdom viewed price discounting, as the most important factor in hotel selection by consumers. The current study anal...