Confidence score describes how confident a question-answering system is about its response. This paper presents a Maximum Entropy Model based algorithm which uses several factors to train an ME model, and then the ME model is used to calculate the confidence of other questions. Efficiency of this method has been proved by the TREC11’s QA evaluation, where the performance of the system has been improved dramatically after confidence ranking.