THE CURRENT STATE AND FUTURE DIRECTIONS
THE CURRENT STATE AND FUTURE DIRECTIONS; Help desk systems that are automated should recover precisely the information needed to assist the user as rapidly and as conveniently as possible also for the lay user who possesses little of the domain or for the advanced user who needs more expert information.
The reason for this study is to analyze and establish a help desk data retrieval mechanism appropriate for a huge scope of users and to offer a way of conveniently maintaining the system (Agarwal 56).
The example developed for utilization over the World Wide Web incorporates keyword case and search based reasoning to offer both fast emphasis on the part of the guided interaction and help information when the user happens to be unclear about suitable keywords.
Maintenance ease is usually offered by utilizing the Multiple Classification Ripple down Rules (MCRDR) in maintaining the domain system knowledge. Further matters that arise comprise of the problem of unsuitable focusing by maintenance and keyword in a dispersed environment.
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A system approach precisely from experts is a possible solution. As well as this, the worldwide computer networks like the Internet are actually becoming the main communication media.
The fast communication that is usually enabled by such types of computer networks has happened to increase the request for effective maintenance of the familiarity of these help desk services. The general aim of this specific study is to analyze the optimal methods of preserving knowledge bases of the help desk while enhancing their use.
The joint use of MCRDR and keyword search appears likely to offer an optimal interface for the scope of users for the system by minimizing unnecessary interaction of the user and the system.
Adomeit, Hannes. Imperial Overstretch: Germany in Soviet Policy from Stalin to Gorbachev :
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