基于改进协同过滤算法的校园二手交易系统研究

Research on Campus Second-Hand Trading System Based on Improved Collaborative Filtering Algorithm

针对当下高校范围内二手物品交易领域的市场空白与现实需求,设计并开发了一款校园二手物品交易系统“校易集市”,通过该系统可以发布闲置物品信息、浏览他人发布的商品并购买。系统基于微信小程序云开发实现,使用腾讯云服务取代第三方服务器,具有无需安装和注册、开发效率高、运营成本低等优点。对传统协同过滤算法进行改进,采用标签评价方式结合K近邻模型,计算推荐商品,提升了用户体验。系统在湖南工业大学上线运行数月,用户数量持续增长,受到广泛好评。

Aiming at the current market gap and real needs in the field of second-hand goods trading within the scope of colleges and universities,a campus second-hand goods trading system‘School Market’is designed and developed.Through this system,you can publish information on idle items,browse the products released by others and buy them.The system is developed and implemented based on the WeChat applet cloud,using Tencent cloud services to replace third-party servers,which has the advantages of no installation and registration,high development efficiency,and low operating costs.The traditional collaborative filtering algorithm is improved,the label evaluation method is adopted,and the K-nearest neighbor model is used to calculate the recommended products,which improves the user experience.The platform has been running for several months in Hunan University of Technology,and the number of users has continued to grow,which has been widely praised.