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A Computer Application is a collection of ideas, human ideas and ways of doing things, expressed to a dumb machine through a mode of communication that suits the idea. -- Kofi Owusu-Ansah.
With the knowledge that a computer program cannot perform any better than the original ideas that were input into it, we at Knight Systems Incorporated, dedicate our time to every computer application we design and build. To us every software is a story of our everyday communication with the computer and we always will make the story easy to understand by the user so that in the end we all grow to love our story.
Every application developed at Knight Systems Incorporated has the end user being the main focus, so it comes to mind; if the user doesn't feel good with the program it will then be as good as deleted.
Our applications range from industrial, accounting, sales, organizational management systems, personnel management systems, office applications, educational software and scientific applications. Yet they all have one thing in common: they are cut out to suite the user.
We always go the extra mile to make the user more efficient with our applications than they would have been with other applications.
At Knight Systems Incorporated, we stand apart from the norm, so that you will always be above the norm.
Knight Systems Supports Open Source.
Knight Systems Incorporated, Ghana.
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Written by Knight Systems Incorporated, Ghana
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Friday, 26 February 2010 18:58 |
When it comes to recommendation systems, everybody's looking to increase accuracy: the Netflix Prize was awarded last July for an algorithm that improved the accuracy of the service's recommendation algorithm by 10 percent. However, computer scientists are finding a new metric to improve upon: recommendation diversity. In a paper that will be released by PNAS, a group of scientists are pushing the limits of recommendation systems, creating new algorithms that will make more tangential recommendations to users, which can help expand their interests, which will increase the longevity and utility of the recommendation system itself. |
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Written by Knight Systems Incorporated, Ghana
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Wednesday, 10 February 2010 07:07 |
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This article describes a way of capturing the similarity between two strings (or words). String similarity is a confidence score that reflects the relation between the meanings of two strings, which usually consists of multiple words or acronyms. Currently, in this approach I am more concerned on the measurement which reflects the relation between the patterns of the two strings, rather than the meaning of the words.
I implemented this algorithm when I was developing a tool to make the matching between XML schemas semi-automatic. |
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Last Updated ( Friday, 26 February 2010 08:59 )
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Software Development
