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Context-Oriented Tour Planning System in Physical and Emotional Distance

机译:面向上下文的巡回计划系统的身体和情感距离

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In tourism, finding the optimal place and route is necessary and essential according to emotional aspect and physical distance. Our proposed novel distance system which is the physical and emotional distance offers the physical and emotional solution to overcome the optimal selection problem. We demonstrate a route planning system that responds to the user's emotional and locational context using the novel distance. This distance can find the optimal place and path to match the user's emotion and location. And we develop a tour-semantic space, which is a semantic space that characterises tourist places, and we measure the novel distance as a relation of user context. Tour-Semantic Space is created using colour information of tourist place photos, genre, words of review and location information as metadata of tourist place. And we were mapping words and place data representing emotions to the tour-semantic space Thereby realising semantic search and integration according to the user's context. The feature of this research is that tourist place recommendation and path search can be performed according to a user's context by taking physical distance and emotional distance into consideration. For example, a tourist place is recommended to the user even when the physical distance between place and the user is long because the emotional distance between the place's characteristic and the user's felling is short. Our experimental results suggest retrieving a place and creating a plan according to the user's context, which consists of emotional aspects and physical location. We aim to develop a system that mimics a person's behaviour, such as people selecting a tourist place themselves considering emotional aspects and physical distances.
机译:在旅游业中,根据情绪方面和物理距离,找到最佳场所和路线。我们所提出的新型距离系统,是物理和情感距离,提供了克服最佳选择问题的物理和情感解决方案。我们展示了一种使用小说距离响应用户的情绪和位置背景的路线规划系统。这个距离可以找到与用户情感和位置相匹配的最佳位置和路径。我们开发了一个巡回演出语义空间,这是一个表征旅游景点的语义空间,我们测量新颖的距离作为用户上下文的关系。使用旅游广场照片,流派,评论和地点信息的颜色信息来创建巡回赛和语义空间,作为旅游场所的元数据。我们正在映射单词并将表示情绪的数据放置到巡回赛道上,从而实现了根据用户的上下文的语义搜索和集成。该研究的特征是通过考虑到物理距离和情绪距离,可以根据用户的上下文来执行旅游地方推荐和路径搜索。例如,即使当地方和用户之间的物理距离很长,推荐给用户推荐给用户,因为这个地方的特征与用户砍伐之间的情绪距离很短。我们的实验结果表明,根据用户的背景,由情感方面和物理位置组成的地点并创建计划。我们的目标是制定一个模仿一个人的行为的系统,例如选择旅游者的人们正在考虑情绪方面和身体距离。

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