ÖGAI Journal 25/2 1 A Short Survey of Recommendation Technologies in Travel

Recommendation has a long history as a successful application area of Artificial Intelligence. The demand of e-commerce platforms (e.g., amazon.com) to improve the accessibility of large product- and service assortments contributed to an increased popularity of recommendation technologies. Three basic technologies supporting the personalized recommendation of products and services are presented in this paper. In order to take into account the focus of this special issue, we provide a discussion of the application of those technologies in the tourism domain (e.g., recommendation of travel destinations) with a special focus on mobile environments. Recommendation Technologies The increasing size and complexity of product assortments offered by e-commerce platforms requires appropriate technologies which alleviate the retrieval of products by online customers. Different recommendation technologies have been developed to help customers to easily find the best matching product. Those technologies have been successfully applied in different domains such as financial services, electronic goods, or movies. An overview of applications exploiting recommender technologies can be found in [16]