FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing
FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing
复制标题
FlierMeet：跨空间公共信息转发、标签和共享的移动群智系统
DOI：
10.1109/tmc.2014.2385097
复制
发表时间：
2015-10-01
影响因子：
7.9
通讯作者：
Zhang, Daqing
中科院分区：
文献类型：
--
作者：
Guo, Bin;Chen, Huihui;Zhang, Daqing
社区公告栏是现代社会公共信息共享的重要功能。张贴传单宣传服务、活动和其他公告。然而，离线发布的传单存在时空覆盖有限和搜索支持效率低下等问题。近年来，随着传感器增强移动设备的发展，移动人群传感（MCS）已被应用于各种应用领域。FlierMeet是一种用于跨空间公共信息转发、标记和共享的群体动力传感系统。学习到的标签可以用于传单共享和偏好信息检索和建议。具体来说，我们利用各种上下文（例如，时空信息，传单发布/转发行为等）和文本特征对相似的转发进行分组并将其分类。我们进一步确定了一组新的人群-对象交互提示来预测转发的语义标签。为了评估我们的系统，我们招募了38名参与者，并在8周的时间内收集了2,035条转发。在该数据集上的实验表明，我们的方法是有效的，并且所提出的特征对飞行分类/语义标记是有用的。
Community bulletin boards serve an important function for public information sharing in modern society. Posted fliers advertise services, events, and other announcements. However, fliers posted offline suffer from problems such as limited spatial-temporal coverage and inefficient search support. In recent years, with the development of sensor-enhanced mobile devices, mobile crowd sensing (MCS) has been used in a variety of application areas. This paper presents FlierMeet, a crowd-powered sensing system for cross-space public information reposting, tagging, and sharing. The tags learned are useful for flier sharing and preferred information retrieval and suggestion. Specifically, we utilize various contexts (e.g., spatio-temporal info, flier publishing/reposting behaviors, etc.) and textual features to group similar reposts and classify them into categories. We further identify a novel set of crowd-object interaction hints to predict the semantic tags of reposts. To evaluate our system, 38 participants were recruited and 2,035 reposts were captured during an eight-week period. Experiments on this dataset showed that our approach to flier grouping is effective and the proposed features are useful for flier category/semantic tagging.