Abstract: On the basis of analyzing the traditional spam filtering techniques, this paper presents a novel anti-spam technique based on the users′ feedback.By introducing the novel users′ feedback mechanism, the technique adopts a neural networks approach to construct classifiers for specific users to fulfill spam filtering.Experiments on well-known mail corpus and prototype demonstrate that the technique is able to reduce false positives and improve the availability of anti-spam system.