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INTRODUCTION

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Abstract:

Recommender systems are applications that are mostly deployed in e-commerce and other noncommercial sites to suggest information and/or products and services, facilitating the decision-making processes for consumers and other end users. They implicitly assume that user needs and constraints can be mapped, through appropriate recommendation algorithms, into product and service selections using knowledge compiled into the system. Recommender systems are now widely used and are expected to be present in sites that display some degree of personalization.

Document Type: Miscellaneous

DOI: https://doi.org/10.3727/1098305031436935

Publication date: 2003-01-01

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  • Information Technology & Tourism is the first scientific journal dealing with the exciting relationship between information technology and tourism. Information and communication systems embedded in a global net have profound influence on the tourism and travel industry. Reservation systems, distributed multimedia systems, highly mobile working places, electronic markets, and the dominant position of tourism applications in the Internet are noticeable results of this development. And the tourism industry poses several challenges to the IT field and its methodologies.
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