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摘  要
近年来，随着互联网不断的普及与发展，生活也变的多姿多彩，每个人几乎都有属于自己的小小兴趣圈子，但人们的兴趣却不止一个，大多数人是没有时间为自己的兴趣“买单”的。为了解决我们在生活中对于各种兴趣活动的不确定性、复杂性和多样性等问题，结合每个人的喜好、特点、习性、生活方式和居住地等信息，通过基于海量数据的兴趣推荐算法，将兴趣活动的信息更直观的展现给用户。帮助用户更好的根据自己的兴趣爱好参加活动。项目前端用Vue实现数据动态绑定，后台运用SSM框架实现数据交互。Vue.js是现在流行的前端技术，是现在主流的构建用户界面的渐进式框架，选择其原因是相对其它前端主流框架有较好的性能优势。
基于内容的推荐算法可通过用户行为预测用户喜欢内容并应用于基于Vue的兴趣活动推荐APP，在极大程度上优化了用户体验。
关键词：Vue前端技术；SSM框架；兴趣推荐；Ajaxmysql下载app

Abstract
In recent years, with the continuous popularization of the Internet, life has become colorful. Almost everyone has their own small interest circle, but people have more than one interest. Most people have no time to "pay" for their interest. In order to solve the uncertainty, complexity and diversity of various interest activities in our life, combined with everyone's preferences, characteristics, habits, lifestyles and residences and other information, through the interest recommendation algorithm based on massive data, the information of interest activities will be more intuitive displayed to users. Help users better according to their own interests to participate in activities. The front end of the project uses Vue to realize data dynamic binding, and the back end uses SSM framework to realize data interaction. Vue.js is a popular front-end technology, and it is the mainstream progressive framework for building user interface. The reason for choosing it is that it has
better performance advantages than other front-end mainstream frameworks.
The content-based recommendation algorithm can predict the user's favorite content through the user behavior and apply it to the Vue based activity recommendation app, which greatly optimizes the user experience.
Keywords:Vue front-end technology; SSM framework; interest recommendation; Ajax

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