基于用户动态兴趣标签的推荐模型研究

Research on Recommendation Model Based on User Dynamic Interest-Tag

随着网络交互性的增强,用户偏好会随主客观条件的变化而转变,因此准确把握用户的动态兴趣是互联网信息平台需要不断探索的问题。本文运用标签描绘用户兴趣,结合兴趣强化和兴趣衰减两方面因素,构建用户动态兴趣模型,以流程图的方式表示推荐模型,并将豆瓣读书的标签资源作为实验对象验证模型的可行性。

With the enhancement of network interactivity,user preferences will change with the changes of subjective and objective conditions.Therefore,accurately grasping the dynamic interests of users is a problem that needs to be explored continuously by the Internet information platform.This paper uses tags to describe users’interests,combines the two factors of interest enhancement and interest decay to build a user dynamic interest model,and expresses the recommendation model in the form of flow chart.It also takes the label resources of Douban reading as the experimental object to verify the feasibility of the model.