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Spin Radar: a spontaneous service provision middleware for place-aware social interactions

机译:Spin Radar:用于位置感知社交交互的自发服务提供中间件

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With the advancements of mobile phones and the integration of multiple communication interfaces, online social interaction between users is no longer restricted to a specific place with connectivity to the Internet but can happen anywhere and at any time. This has promoted the development of mobile social applications to enable opportunistic interactions with co-located users. One of the challenging problems in such interactions is to discover interaction opportunities with nearby users. Existing works focus on properties related to mobile users in order to find similar users in the surrounding area; these works depend on predefined logic such as conditional statements to recommend spontaneous social interaction opportunities. However, the social implications of the place in which the interaction is taking place are an important factor for recommendations, as those implications provide hints about the most plausible types of interactions among co-located users. In this work, we present a middleware called SpinRadar which is designed to support spontaneous interactions between co-located users by taking into account the semantics of a place, which we call 'place-ness.' Our evaluation shows that the proposed scheme satisfies users much more than existing schemes.
机译:随着移动电话的发展以及多种通信接口的集成,用户之间的在线社交互动不再局限于连接到Internet的特定位置,而是可以在任何地方,任何时间发生。这促进了移动社交应用程序的开发,以实现与同位用户的机会性交互。这种交互中具有挑战性的问题之一是发现与附近用户的交互机会。现有作品集中在与移动用户相关的属性上,以便在周围地区找到相似的用户;这些工作依赖于预定义的逻辑(例如条件语句)来推荐自发的社交互动机会。但是,进行交互的地方的社会含义是建议的重要因素,因为这些含义提供了有关位于同一地点的用户之间最合理的交互类型的暗示。在这项工作中,我们提出了一种称为SpinRadar的中间件,该中间件旨在通过考虑地点的语义(称为“地点感”)来支持位于同一地点的用户之间的自发交互。我们的评估表明,与现有方案相比,该方案满足用户的需求更大。

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