"基于SVM的智能邮件过滤系统研究与实现PDF"

The research paper "人工智人-家居设计-基于SVM的智能邮件过滤系统研究与实现.pdf" discusses the development and implementation of an intelligent email filtering system based on Support Vector Machine (SVM) technology. The system aims to automatically filter incoming emails by utilizing machine learning algorithms to classify and categorize messages as either legitimate or spam. One of the key innovations of the system is the use of a two-tier filtering process, which improves both the speed and accuracy of the filtering system. In the first tier, the system filters emails based on predefined lists of approved senders and blocked senders, as well as the similarity of email subjects. This allows for a more precise filtering process that takes into account not only the sender's identity but also the content of the email. In the second tier of filtering, the system analyzes the content of the email using both content-based characteristics and synthetic characteristics to further distinguish between legitimate and spam emails. By taking into account a wider range of features and characteristics of the email, the system is able to make more informed decisions about the classification of each message. Overall, the intelligent email filtering system described in the research paper represents a significant advancement in the field of email filtering technology. By combining machine learning algorithms with innovative filtering techniques, the system is able to effectively identify and filter out spam emails while allowing legitimate emails to pass through seamlessly. The system's use of SVM technology and two-tier filtering process sets it apart from traditional email filtering systems and demonstrates the potential for more advanced and accurate email filtering solutions in the future.