A Route Recommender System Based on the User’s Visit Duration at Sightseeing Locations

A Route Recommender System Based on the User’s Visit Duration at Sightseeing Locations
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基于用户游览景点时长的路线推荐系统

DOI:
10.1007/978-3-319-11265-7_14
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发表时间:
2014
期刊:
Software Engineering Research, Management and Applications, Studies in Computational Intelligence
影响因子:
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通讯作者:
Shinsuke Nakajima and Kazutoshi Sumiya
Shinsuke Nakajima and Kazutoshi Sumiya
中科院分区:
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文献类型:
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作者:
Daisuke Kitayama;Keisuke Ozu;Shinsuke Nakajima and Kazutoshi Sumiya

文献摘要

相似文献

每个游客在观光地点停留的时间都不同。如果游客对某个地点特别感兴趣,则访问时间可能会很长。在这种情况下,我们认为游客的访问持续时间比类似地点的典型游客更长。我们假设这种差异显示了游客的特征,例如他/她感兴趣的物体类型以及他/她的步行速度。它还表明了观光区域的拥堵程度。因此,我们提出了一种路线推荐系统,其推荐是基于用户在观光地点的典型访问持续时间之间的差异。我们关注地点的类别结构以及游客和典型访问持续时间之间的差异,以估计其他地点的访问持续时间。在这项研究中,我们开发了一个原型系统,并使用几个观光地点对其进行了评估。
The time spent at a sightseeing location differs for each tourist. If a tourist is particularly interested in a location, the visit duration may be long. In this case, we consider that the tourist’s visit duration is longer than that of a typical tourist at similar sites. We assume that this difference shows the tourist’s characteristics, such as the type of objects in which s/he is interested and his or her walking speed. It also indicates the level of congestion in the sightseeing area. Therefore, we propose a route recommender system whose recommendations are based on the difference between a user’s and the typical visit duration at sightseeing locations. We focus on the category structure of the locations and the difference between the tourist’s and the typical visit duration for estimating the visit duration at other locations. In this study, we developed a prototype system and evaluated it using a few sightseeing locations.