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Choice modeling (CM) aims to describe and predict choices according to attributes of subjects and options. If we presume each choice making as the formation of link between subjects and options, immediately CM can be bridged to link analysis and prediction (LAP) problem. However, such a mapping is often not trivial and straightforward. In LAP problems, the only available observations are links among...
Because web services and agent technology can help each other, to integrate them together is becoming a trend. Most of current research works focus on developing an integration framework to provide gateways that can connect the agent and web service worlds. In the paper, the service intermediary agent is proposed as a value-added professional service provider, which can manage a group of inherently...
Recommender system, which is powerful to deal with the issue of information overload, has been widely investigated by many researchers recently. However, one of the biggest challenges needs to face is the cold start problem. To address this problem, the data source from social network is incorporated into our recommender system in this paper. In a social network, users who tightly connected imply...
With exponential growth of mobile broadband traffic, mobile operators are facing the challenge of cost-efficiently evolving 3G/4G network to meet future network capacity demand. Heterogeneous multilayer network deployment is one essential performance-effective and potentially cost-effective candidate solution. We study optimal new site deployment algorithms in heterogeneous wireless cellular networks...
Mobile P2P content distribution is a promising solution to offload overwhelming growing mobile data traffic and improve the end-user experience. We study optimal distributed caching problem for mobile peer-to-peer data dissemination that leverages local cache of mobile nodes and their mobility. The problem accounts for finding the assignment of proportion of nodes to forward a set of data channels...
In personalized education theory, each learner has different behavioral characteristics. From this perspective, the biggest shortcoming of the Chinese learning website is that it couldn't reflect the individuality. Although some websites have classification of Chinese learners, most of them are based on the initial registration information. This paper proposes a grouping algorithm for Chinese learners...
The Web has been dramatically deepened by the deep Web, which the traditional information fusion system shows disability to integrate. The myriad information hidden behind the deep Web attracts the considerable attention from the researchers. The key element in a deep Web information fusion system is the data source modeling problem, which determine the whole technical method of the whole system....
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