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One of the most important and challenging problems in recommendation systems is that of modeling temporal behavior. Typically, modeling temporal behavior increases the cost of parameter inference and estimation. Along with it, it also poses the constraint of requiring a large amount of data for reliably learning the parameters of the model. Therefore, it is often difficult to model temporal behavior...
In the modern era of software engineering, the development of software in static and dynamic environment results in several vulnerabilities that need to be handled so that they do not step in with the clear defined project goals. Previous studies show that the wide variety of different risk analysis strategies provide a valid solution to address the lack of risk management strategies in Software risk...
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