在对之前的相关反馈技术的问题和不足进行总结的基础上,提出一种基于最小风险的贝叶斯决策理论相关反馈方法,通过一种自适应机制产生记忆,同时应用最小风险来使用户获得满意的检索结果。实验结果表明该方法准确率高、响应速度快。
Based on the summing up of some problems and deficiencies of relevance feedback the day before,this paper proposed Bayesian decision theory relevance feedback method based on minimum risk,in which producing memory through a adaptive mechanism,and applying minimum risk to satisfy users with the retrieval results.Experimental result shows that it is a method with high accuracy and fast response speed.