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In this paper, user log data of mobile notificationsare collected from a real mobile news application, and notificationopening rate and reaction time are identified as key parametersthat characterize user behavior. The results indicate that notificationopening patterns depend on the content of notifications, the time at which they are sent, the activeness of users, andthe reaction time. This paper...
we propose architecture for adaptive services provisioning within Social Internet of Things', where both humans and objects interact via social structure of everything. Building on the socio-technical networks, we propose goal-driven, i.e. cognitive, context-awareness as the core for intelligence generation. Results shows reduced overhead of contextual data acquisition and processing.
This paper presents a comprehensive empirical study on the correlations between users' interest similarity and various social features across three interest domains (i.e., movie, music and TV). This study relies on a large dataset, containing 479, 048 users and 5, 263, 351 user-generated interests, captured from Facebook. We identify the social features from three types of the users' information -...
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