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Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 14th EAI Internation Honghao Gao,Xinheng Wang,Muddesar Iqbal Conference

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楼主: Concave
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Collaborative Thompson Samplingnd achieved remarkable success. Thompson sampling makes decisions in a noisy but stationary environment by accumulating uncertain information over time to improve prediction accuracy. In highly dynamic domains, however, the environment undergoes frequent and unpredictable changes. Making decisions i
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Recommending More Suitable Music Based on Users’ Real Context. The traditional music recommendation strategy captured users’ music preference by analyzing their historical behaviors to conduct personalized recommendation. However, users’ current states, such as in busy working or in a leisure travel, etc., have an important influence on their music enjoyment.
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Identifying Local Clustering Structures of Evolving Social Networks Using Graph Spectra (Short Paperh 3-cycle (WSD3) that is similar (but not equal) to the clustering coefficient is studied on evolving social networks. It is demonstrated that the ratio of the WSD3 to the network size (i.e., the node number) provides a more sensitive discrimination for the size-independent local structure of social
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