旅游矿工:基于SNS的旅游计划挖掘系统:从签到信息中提取旅游记录

P. Leelaprute, S. Yamaguchi
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引用次数: 1

摘要

我们一直在研发“旅游挖掘者”系统,该系统可以根据社交网络中积累的信息,创建适合个人喜好或兴趣的旅游计划。本文提出了一种从SNS共享位置信息“Foursquare”中积累的签到信息中提取旅行记录的方法,并构建了旅行记录数据库。此外,我们提出了一种从数据库中选择符合个人偏好和兴趣的旅行记录的方法。将建议的方法应用于这八个例子的结果是,有可能获得足够数量的旅行记录,可以支持旅行计划的编制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tour Miner: Mining System of Tour Plans from SNS: Extraction of Travel Records from Check-in Information
We have been researching and developing the system called “Tour Miner” which creates a tour plan suitable for individual preferences or interests from the information accumulated in SNS. In this paper, we proposed a method to extract travel records from check-in information accumulated in SNS sharing location information “Foursquare” and constructed a database of travel records. In addition, we proposed a method to select travel records matching personal preferences and interests from the database. As a result of applying the proposed method to the eight examples, it was possible to obtain a sufficient number of travel records that can support the preparation of the tour plan.
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