SNS User Classification and its Application to Obscure POI Discovery
SNS User Classification and its Application to Obscure POI Discovery
复制标题
SNS用户分类及其在模糊POI发现中的应用
DOI：
10.1007/s11042-016-4034-6
复制
发表时间：
2017
影响因子：
3.6
通讯作者：
Masatoshi Yoshikawa
中科院分区：
文献类型：
--
作者：
Chenyi Zhuang;Qiang Ma;Masatoshi Yoshikawa
技术越来越多地利用社交媒体的爆炸式增长（例如网络搜索、广告定位、个性化地理社交推荐、城市计算）。估计用户的特征或用户分析是此类技术的关键挑战之一。本文重点研究自动估计给定城市的社交网络服务（SNS）用户权限的重要问题，这可以显着改进基于位置的服务和系统。我们工作中的“权威”衡量的是用户对特定城市的熟悉程度。通过分析用户的社交、时间和空间行为，我们分别提出并比较了三种用户权限模型：社交网络驱动模型、时间驱动模型和位置驱动模型。此外，我们讨论这三种模型的集成。最后，通过使用这些用户分析模型，我们提出了一种新的地理社交推荐应用程序。与关注热门和著名兴趣点 (POI) 的相关研究相比，我们的模型有助于发现不为人所知的模糊 POI。对从三个城市收集的真实数据集进行的实验评估和分析证明了所提出的用户分析模型的性能。为了验证发现模糊 POI 的效果，所提出的应用程序被实施来发现和探索日本京都的模糊 POI。
Technologies are increasingly taking advantage of the explosion of social media (e.g., web searches, ad targeting, personalized geo-social recommendations, urban computing). Estimating the characteristics of users, or user profiling, is one of the key challenges for such technologies. This paper focuses on the important problem of automatically estimatingsocial networking service (SNS) user authoritywith a given city, which can significantly improve location-based services and systems. The “authority” in our work measures a user’s familiarity with a particular city. By analyzing users’ social, temporal, and spatial behavior, we respectively propose and compare three models for user authority: a social-network-driven model, time-driven model, and location-driven model. Furthermore, we discuss the integration of these three models. Finally, by using these user-profiling models, we propose a new application for geo-social recommendations. In contrast to related studies, which focus on popular and famous points of interests (POIs), our models help discover obscure POIs that are not well known. Experimental evaluations and analysis on a real dataset collected from three cities demonstrate the performance of the proposed user-profiling models. To verify the effect of discovering obscure POIs, the proposed application was implemented to discover and explore obscure POIs in Kyoto, Japan.