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With the rapid development of microblog, the research of topic detection has been paid more attention, which has begun to transfer from the traditional news media to microblog. However, compared with the traditional fields where topic detection applied, the microblogging data is written informally and the structure of that is not rigorous, which will bring great difficulties. In the process of topic...
In order to solve the sparse initial information problem when the topic model was established ever before, this paper establishes the Wikipedia based news event knowledge base. Referring to this knowledge base, we calculate the weight of the news model, make the similarity measurement based on the time distance, make the clustering based on time line, and apply the dynamic threshold strategy to detect...
Since B-to-B commercial websites play a decisive role in electronic business and trade, the evaluation and selection of them are very important. There have existed many methods for evaluation on commercial websites nowadays. But there are very few patterns of evaluation that are widely recognized and accepted so far. To tolerate subjective and objective factors that might influence evaluation results,...
In recent years, human resource recruitment websites have been more and more popular in the talent market. The HR recruitment website is an important part in the E-business world. Several HR recruitment websites in China have been in a leading position in this field. In the mean time job hunters find it difficult to assess those websites for their choice decision. This paper utilizes Analytical Hierarchy...
The daily clearing price curve in electricity market varied with multi-period and strong fluctuation characteristic. When grey GM (1, 1) model is used in forecast, the forecast error exceeded the permitted precision. This is because GM (1, 1) model is invalidated only if the price series did not follow the rule of exponential growth. In this case, grey model with period residual modification is proposed,...
The viscoelastic damping is one of key factors that affect vehicle vibration. It has been demonstrated that fractional derivative model can accurately model this kind of frequency dependence damping very well. Generally, the excitation of rough road can be acted as a stationary random vibration process in time domain when a vehicle is traveling at constant speeds. But the road roughness should be...
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