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Users often fail to find the right keywords to precisely describe their queries in the information seeking process. Techniques such as user intention predictions and personalized recommendations are designed to help the users figure out how to formalize their queries. In this work, we aim to help users identify their search targets using a new approach called Interactive User Intention Understanding...
Failure of one or multiple critical nodes may partition wireless sensor networks into disjoint segments, and thus brings negative effect on the applications. We propose DCRS, a Distributed Connectivity Restoration Strategy to tolerate the failure of one critical node. Because of the energy restriction of sensor nodes, the energy overhead of the recovery process should be minimized to extend the lifetime...
Multicast communication has been commonly used in multiprocessor systems. Current multicast routing methods such as tree-based and path-based approaches may suffer from the problem of multicast deadlocks or long routing delay. In this work we propose a hybrid multicast routing algorithm that combines the advantages of both path-based and tree-based methods. The proposed algorithm together with a router...
Based on the research and analysis of interactive text properties, the word frequency statistics and synonyms merger are imported to obtain the keywords of interactive text. The Sentence similarity is used to describe the degree of coupling between sentences. Then a novel topic partition algorithm based on average sentence similarity is proposed. The experimental results show the effectiveness of...
With the rapid development of large-scale online social network applications, understanding the community characteristics of online social networks is benefit to improve application performance. Characteristics of communities are studied based on real measurements of You Tube, a popular online social network. Adapt to the huge scale of online social networks, we modify the original community discovery...
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