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Advances in e-learning technologies parallels a general increase in sophistication by computer users. The use of just one theory or model, such as the technology acceptance model, is no longer sufficient to study the intended use of e-learning systems. Rather, a combination of theories must be integrated in order to fully capture the complexity of(More)
Social bookmarking is a recent phenomenon which has the potential to give us a great deal of data about pages on the web. In this paper, we present an improved framework to web content classification based on Folksonomy. Since Folksonomy is keyword-based, it is associated with semantic problems. Various academicians have constructed ontologies to solve(More)
Purpose –This study focuses specifically on the examination of factors influencing the effectiveness of product placement in social media. Design/methodology/approach – Two field experiments were used to test research models and questions. In each experiment, random sampling was used to assign volunteers into groups, controlled by different experimental(More)
There were many researches about applying various data mining or text mining tools to patent analysis, and there were many scholars and experts have verified the accuracy and the feasibility of those tools. However, since mining tools always tried to analyze the content using some mathematic methodology, such as linguistic algorithms, they neglect the fact(More)
Previous research studies, which were performed under different task environments, identified a variety of factors that can affect student satisfaction with e-learning courses. Lifelong e-learning courses can be different from typical e-learning courses because they are designed to provide "lifelong, voluntary, and self-motivated" pursuit of knowledge for(More)
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