Research On SMS Filtering Algorithm Based On User Personality

摘要

In this paper, a short message filtering model based on the user characteristic model is proposed to solve the problem that the short message filter model is not constructed from the user's needs. The model analyzes the information of App category and user's existing SMS in the user's mobile phone, and carries on the user characteristic modeling. And uses the obtained user feature model to optimize the SMS filtering algorithm, and then obtains the user-based SMS filtering model, which can achieve the accuracy of SMS filtering, but also meet the user's personalized SMS filtering needs. Finally, the rationality and validity of the model are proved by experiments.