The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, users aggregated purchase history and competitive online travel agency (OTA) information for each potential hotel choice. This paper describes the solution of team ”binghsu & MLRush & BrickMover”. We condu...

This paper introduces Sos, a location aware and context sensitive accommodation finding service for mobile citizens who require help finding somewhere to stay when they arrive at their chosen destination. Specifically, Sos helps users to find and book hotel accommodation that is most appropriate to their current context. This context combines the users’ current location, personal preferences, h...

In this paper, we empirically estimate the economic value of different hotel characteristics, especially the location-based and service-based characteristics given the associated local infrastructure. We build a random coefficients-based structural model taking into consideration the multiple-levels of consumer heterogeneity introduced by different travel contexts and different hotel characteri...

User-Generated Content (UGC) is changing the way consumers shop for goods. It is increasingly being recognized that the textual content of product reviews is an important determinant of consumers’ choices, over and above any numeric information. Similarly, websites that facilitate the creation of social tags by users can influence the desirability of a product or service. Moreover, one can harn...

Session Topic: Innovative marketing approaches Review first for an oral presentation and second for display as an illustrated paper presentation. Acknowledgements The authors would like to thank generous support from Matt Hanson of Orbitz International and the College of Charleston School of Business. INTRODUCTION Millions of travelers visit various online travel sites looking for inexpensive p...

The Web contains a vast amount of text that can only be queried using simple keywords-in, documentsout search queries. But Web text often contains structured elements, such as hotel location and price pairs embedded in a set of hotel reviews. Queries that process these structural text elements would be much more powerful than our current document-centric queries. Of course, text does not contai...

We have previously introduced the idea of compensatory decision support on mobile devices as going beyond querying and filtering offered by many location-based services (LBS) today. Our Hotel Finder application uses multi-criteria decision-making methods to provide targeted suggestions for selecting facilities that best address the users’ personal requirements. In this paper, we compare the Hot...

Location selection is an essential decision problem for many industrial domains such as hotel, tourism site, energy, school, warehouse, factory, stores, retails and estate. This paper proposes the Primitive Cognitive Network Process (P-CNP) for the location selection problem considering multiple criteria. An illustrated example of hospital site selection demonstrates the usability of the propos...