活动简介
This one-day workshop held in conjunction with RecSys 2017 addresses specific challenges for recommender systems in the tourism domain. Planning a vacation usually involves searching for a set of products that are interconnected (e.g., transportation, lodging, attractions) with limited availability, and where contextual aspects may have a major impact (e.g., spatiotemporal context). RecTour 2017 aims at attracting presentations of novel ideas in order to advance the current state of the art in the field of tourism recommenders; topics include specific applications and case studies (evaluation), specific methods and techniques, context and mobility, the cold-start problem, preference elicitation, and emotions and recommenders. Researchers and practitioners from different fields are invited to submit research and position papers as well as demonstration systems.
征稿信息
征稿范围
During the workshop we will identify typical user groups, tasks and roles in order to achieve an adequate personalization and recommendation for tourism applications. Important aspects and topics to be discussed evolve around (but are not limited to):
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Specific applications and case studies (evaluation)
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Specific methods and techniques for tourism recommenders
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Novel ICT and its impact on travel and tourism
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Integrating data – exploiting data from various sources, i.e., catalogues, Linked Open Data, and usage logs
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Context and mobility in tourism
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Cold-start problem in the context of tourism recommenders
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Preference elicitation in tourism
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Emotions and tourism recommenders
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Interaction
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Interaction concepts with personal (mobile or desktop) and group (on-site public or desktop) displays
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Information needs, information access (incl. visualisation) and search patterns
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Collaboration, communication and sharing aspects in the process of tourist information consumption
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Personalized explanations and feedback of recommendation systems
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Digital storytelling, narratives, smart summaries and recommendation explanations
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