Abstract
This paper proposed a concept of harvesting the social network intelligence as high quality information source for decision-making. A collaborative social decision model (CSDM) is proposed for improving the digital content creditability on leisure e-service. This study investigates people’s original experiences and feedbacks form their social network relationships. Those personal perceptions and latest feedback information from social network are utilized for exploring high quality digital content. The unique information from social network could help user shape the digital content quality and bring alternative information sources of leisure e-service system. Contrast to traditional leisure service applications, the collaborative social decision model could improve digital content creditability and facilitate leisure e-service innovation.
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Hwang, YC. (2010). A Collaborative Social Decision Model for Digital Content Credibility Improvement. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_39
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DOI: https://doi.org/10.1007/978-3-642-14292-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14291-8
Online ISBN: 978-3-642-14292-5
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