Dealing with Bus Delay and User History for Personalized Transportation Recommendation
Dealing with Bus Delay and User History for Personalized Transportation Recommendation
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处理公交车延误和用户历史以提供个性化交通推荐
DOI：
10.1109/csci.2014.74
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Tsunenori Mine
中科院分区：
文献类型：
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作者：
Hiroyuki Nakamura;Hongliang Zhang;Yuan Gao;He Gao;Akifumi Kiyohiro;Tsunenori Mine
考虑用户上下文和社会历史的个性化系统是有吸引力的。我们提出了一个个性化的交通系统称为PATRASH：个性化自主交通推荐系统，考虑用户上下文和历史。PATRASH不仅考虑了用户的上下文和交通历史，而且还考虑了真实的公交延误。巴士延迟API（BD API）返回的巴士延迟用于对推荐路线进行调整。在本文中，我们提出了一个模型来处理公交车延误信息。我们还根据用户上下文和历史来确认个性化路线推荐的有效性或可能性。为此，我们调查了10名考生的公共交通使用历史作为一个典型的案例研究。实证研究结果为预测个体公交线路提供了依据。
A personalized system considering user context and social histories is attractive. We present a personalized transportation system called PATRASH: Personalized Autonomous Transportation recommendation System considering user context and History. PATRASH considers not only users' context and transportation histories, but also real bus delay. The bus delay returned by Bus Delay API (BDAPI) is used for making adjustments of recommended routes. In this paper, we proposes a model for dealing with the bus delay information. We also make confirmation of effectiveness or possibilities of personalized route recommendation based on user context and histories. To this end, we investigated 10 examinees' usage histories of public transportation as a preliminal case study. The preliminal investigation results promise us to predict individual public transportation route.