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Recently patients are increasingly turning to online health community to share their experiences and exchange healthcare knowledge. Exploring hot topics from online health community helps us better understand their needs and interests in health-related knowledge. However, statistical-based topic analysis employed in previous studies is becoming impractical to process the growing large-scale online...
As a necessary part of our daily life, choose what dishes to cook that is a problem and troubles many people every day. In recent years, there has been a proliferation of multimedia recipe data on the Web 2.0 communities. To assist people to navigate and search on from large amounts of recipes, a suitable recipe model is crucial and indispensable. However, recipes have some distinct characteristics...
Online media services and electronic commerce are booming recently. Previous studies have been devoted to contextual advertising, but few work deals with interactive web advertising. In this paper, we propose to put users in the loop of collecting contextual ad information with an interaction process, establishing semantic ad links across media platforms. Given an ad video, the key frames with explicit...
The increasing amount of available User-Created Content (UCC) has resulted in the need of efficient systems for the filtering of malicious content. In this paper, we discuss a system capable of detecting malicious content by relying on the use of semantic features. The semantic features are represented by the likelihood rate of elementary concepts (e.g., `breast', `bottom'). These elementary concepts...
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