Titlebook: Analytics in Smart Tourism Design; Concepts and Methods Zheng Xiang,Daniel R. Fesenmaier Book 2017 Springer International Publishing Switze

繼承人

過(guò)份艷麗

Zheng Xiang,Daniel R. FesenmaierPresents cutting-edge research on the development of analytics in travel and tourism.Introduces new conceptual frameworks and measurement tools.Includes several relevant case studies for the applicati

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Tourism on the Vergehttp://image.papertrans.cn/a/image/156719.jpg

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樹木中

Priapism

Lecture Notes in Computer Scienceof generating customer-based knowledge through tourists’ feedback and information traces. The first section introduces the concept of generating big data in travel demand, by describing the different customer-based data that can be obtained from explicit and implicit tourists’ feedback. The second s

披肩

財(cái)政

https://doi.org/10.1007/978-3-030-11072-7posited that technologies related to the quantified self perfectly match the needs of context-relevant information and therefore offers a number of opportunities to shape tourism experiences. As such, the information collected through this technology enables tourism destinations to understand not on

Affection

Continuous Protocols for Swarm Roboticsout both destination usage (from the supply side) and visitor characteristics (the demand population). Unfortunately, PPL reservation databases are rarely explored with these goals in mind. Geovisualizations of reservation data can be used to identify longitudinal patterns, trends and relationships

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