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The development of internet and information technology provides customers a new opportunity to share their shopping experience online. Online customer reviews (OCR) have a significant value on purchasing decisions and corporate reputation management. However, how to aggregate and utilize OCR is a big challenge. This paper explores the OCR processing and proposes an OCR processing model by introducing...
Efforts have been made on voice enabled navigation, but to use the voice enabled systems more effectively, we need to exploit the marvels of web semantics properly, especially with the aspect of blind. Voice enabled applications have already been introduced by several companies but "Voice Enabled Browsing" is an area yet to be discovered. In this study we focused on the use of voice browsing...
The choice of outsourcing avoids many risks associated with implementing enterprise information systems in-house, but also result failed projects or weak systems whose logic conflicts with organizational goals if choose ill-suited supplier. To select suitable suppliers, a systematic approach be proposed in which take into account enterprise strategies and organizational goals.
As new field of computer intelligence research, artificial immune system inspired by biological immune system, provides a strong paradigm for information processing and problem solving. Artificial immune network theory is an important theory of AIS and has already wildly applied in the fields of data clustering, data analysis and robot control. This research proposes firstly to apply artificial immune...
This paper studies the asymptotic estimation of the deficit distribution in a Markov chain stochastic interest risk model by a monotone integral operator. Further, estimation for the difference between the distribution of the deficit and the asymptotic formula is given. Moreover, some bounds of the deficit distribution are discussed. These results improve further the older algorithm.
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