基于Web信息和景区可视性的旅游路线搜索系统

Jianwei Zhang, Hiroshi Kawasaki, Yukiko Kawai
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引用次数: 18

摘要

随着网络上海量信息的增长,信息推荐和过滤技术得到了广泛的研究。传统的路径搜索系统可以看作是信息推荐系统的一种,通常是根据时间或距离来计算最短路径。近年来,更为通用的路径搜索系统已成为一个重要的研究课题。本文提出了一种高效的旅游路线搜索系统,不仅可以推荐简单连接多个旅游景点的路径,还可以推荐风景优美的路径。我们关注景点与景点之间的能见度,这是选择行车路线的重要因素,但传统的旅游导航系统并未考虑到这一点。为了实现旅游景点的自动检索,提出了一种基于Web信息的个性化旅游景点推荐技术。为了找到一条风景吸引人的路线,根据景点的可见度计算并使用路径分数。我们通过使用系统的原型来测试所提出系统的有效性。
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A Tourist Route Search System Based on Web Information and the Visibility of Scenic Sights
With the growth of massive information on the Web, information recommendation and filtering techniques have been studied intensively.Traditional route search systems, which can be considered one of information recommendation systems, usually calculate the shortest path in terms of time or distance.Recently, route search systems for more general purposes have become an important research topic.In this paper we propose an efficient tourist route search system which not only recommends the path simply connecting several tourist spots, but also recommends the path with beautiful scenic sights.We focus on the visibility of scenic sights between one tourist spot and another, which is an important factor for choosing a driving route, but has not been considered in traditional tourist navigation systems.To automatically retrieve tourist spots, we propose a personalized tourist spot recommendation technique using the Web information.To find a route with attractive scenery, scores for paths based on the visibility of scenic sights are calculated and utilized.We tested the effectiveness of the proposed system by using a prototype of the system.
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