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With the rapid popularization of social applications, various kinds of social media have developed into an important platform for publishing information and expressing opinion. Detecting hidden topics from the huge amount of user-generated contents is of great commerce value and social significance. However traditional text analysis approaches only focus on the statistical correlation between words,...
Dynamic adaptive streaming over HTTP (DASH) has emerged as a popular Internet video service, constituting a growing fraction of LTE network traffic today. We identify the root causes of DASH performance problems in bit-ate stability, energy consumption of User Equipment (UE) and efficiency of bandwidth utilization, from both the users' and network operators' perspectives. Unlike the existing researches...
Video skimming, a technique for video summarization, is particularly significant in the face of explosive growth of video content. This article highlights the necessities and motivations of providing video skimming as a standard service and proposes a standard framework for video skimming.
Book recommendation is becoming increasingly significant library service, considering it improve access to relevant books by making personal suggestions based on previous examples of user's preference. Most existing approaches are either collaborative-filtering based, considering the data sparsity and cold-start problems, collaborative-filtering approaches suffer from many challenges. In this paper,...
Due to the seamlessly adaptation to variable wireless network conditions, Dynamic Adaptive Streaming over HTTP (DASH) has been widely used in today's video streaming applications. Both the playback fluency and the average bitrate are significant performance metrics for mobile streaming users. However, the existing bitrate selection mechanisms based on the inaccurate throughput estimation will lead...
Web users are immersed in their roles as information producers and propagation pushers. They are unaware of being potential threats to privacy-protection towards themselves and their friends. It is necessary to know who they should beware of most in their friend-networks once their privacy information is divulged inadvertently. In this paper, we aim to identify the vulnerable friend who maximizes...
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