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浙江大学学报(工学版)
人机交互与普适计算     
多源社交数据融合的多角度旅游信息感知
郭彤, 郭斌, 张佳凡, 於志文, 周兴社
西北工业大学 计算机学院, 陕西 西安 710129
CrowdTravel: leveraging heterogeneous crowdsourced data for scenic spot profiling
GUO Tong, GUO Bin, ZHANG Jia-fan, YU Zhi-wen, ZHOU Xing-she
School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China
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摘要:

为了提高用户获取旅游知识的效率,同时提供有效的旅行辅助,提出多源社交数据融合的多角度旅游信息感知方法.对异构的旅游相关数据进行预处理,提出跨媒体多角度关联方法来连接碎片化旅游信息,利用“景观-特征刻画”实现景点的多角度刻画.通过序列模式挖掘算法,从历史游记数据中得到典型旅游路线并向用户进行推荐.基于评论文本和图像上、下文的相似性,将图像和文本结合,实现跨媒体信息关联.从大众点评和蚂蜂窝上,采集国内8个热门景点数据进行实验.结果表明,采用该方法能够更细粒度地刻画景点,且提供的旅游路线能够满足不同用户的需求.

Abstract:

A multi-aspect tourism information perception method based on multi-source social media data fusion was proposed in order to improve the efficiency of travel knowledge acquisition and provide effective travel assistance for users. A cross-media multi-aspect correlation approach was proposed to connect fragmented travel information after a preprocessing step for the heterogeneous travel related data, which resorted to the “scene-feature characterization” in order to make a multi-aspect characterization. The perception method mined typical travel route from historical travelogues based on the sequential pattern mining, which can be regarded as the recommended route. Connecting cross-media information was based on the similarity between the reviews and the image contexts. Results of experiments over a dataset of eight domestic popular scenic spots, which was collected from Dazhongdianping and Mafengwo, indicate that the approach makes a fine-grained characterization for the scenic spots and the provided travel route can meet different users’ needs.

出版日期: 2017-04-25
CLC:  TP 399  
基金资助:

国家“973”重点基础研究发展规划资助项目(2015CB352400); 国家自然科学基金资助项目(61332005, 61373119).

通讯作者: 郭斌,男,教授. ORCID: 0000-0001-6097-2467.      E-mail: guob@nwpu.edu.cn
作者简介: 郭彤(1993—),男,硕士生,从事移动群智感知的研究. ORCID: 0000-0003-3910-8337. E-mail: tongg@mail.nwpu.edu.cn
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引用本文:

郭彤, 郭斌, 张佳凡, 於志文, 周兴社. 多源社交数据融合的多角度旅游信息感知[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2017.04.004.

GUO Tong, GUO Bin, ZHANG Jia-fan, YU Zhi-wen, ZHOU Xing-she. CrowdTravel: leveraging heterogeneous crowdsourced data for scenic spot profiling. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2017.04.004.

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