：文章主要通过收集用户的手势行为数据及手势对应的内容挖掘用户兴趣，根据数据构建用户兴趣画像。最后，基于用户兴趣画像对用户进行推荐实验。实验结果表明，基于用户手势行为的兴趣画像构建取得较好的效果。文章研究成果在个性化推荐系统和市场营销领域中具有重要价值，一方面可以为用户提供感兴趣的内容；另一方面提高用户体验，增加用户忠诚度。

This paper mainly studies how to use gesture behavior generated by mobile terminal to mine user interest and build user interest profile. On the basis of this, the interest recommendation effect based on user interest profile is studied. By collecting the user′s gesture behavior data and the corresponding content of gesture, the user′s interest is mined and the user′s interest profile is constructed. Finally, recommendation experiments are conducted based on user interest profile. The results show that the interest profile construction based on user gesture behavior has achieved good results. The results of this study have important value in the field of personalized recommendation system and marketing. On the one hand, it can provide users with interesting content; on the other hand, it can improve user experience and increase user loyalty.