Strategy Performance Evaluation of IR Based on Cloud Model

At present the most popular methods of strategy evaluation in information retrieval system cannot reflect stability and randomicity. So the tradition methods are not comprehensive enough for strategy evaluation. This research presents a new method of strategy evaluation based on cloud model. This method can reflect not only average performance of a strategy but also stability and randomicity. This method sets up a transform of qualitative concepts and quantity. This kind of transform is carried out through strict mathematic means. Experimental data show the method is practical. Results of evaluation will be more accurate and approach to the fact better. This method is also good for strategy evaluation of text classification.