摘要
高校二手市场为大学生资源循环再利用提供了很好的交换环境,摆摊设点的高校二手市场受到时间、地点等诸多因素的限制。解决这些问题的方案是从线下转移至线上。文章发挥线上交易方便、高效特点,通过利用微信小程序来获取用户的个性化信息数据,并且通过协同过滤算法ItemCF,实现为用户推荐符合用户个性化的二手商品,达到减轻用户浏览、寻找物品负担的目的,以便用户可以尽快找到自己需要的物品信息。平台通过消息推送的方式,减少用户等待时间。
The secondary market of colleges and universities provides a good exchange environment for the resource recycling of college students. The secondary market of colleges and universities that set up stalls is limited by time,place and many other factors. The solution to these problems is to move from offline to online. Convenient, efficient characteristics, it plays online transactions by using WeChat small program to obtain the user’s personalized information data, and through the collaborative filtering algorithm ItemCF, implemented as user recommendation conforms to the user personalized secondhand goods, reaching the purpose of easing the burden on users to browse and search for items,so that users can find the item you need information as soon as possible. It reduces user waiting time through message push.
作者
李旭
王良遇
Li Xu;Wang Liangyu(Southeast University Chengxian College,Nanjing 210000,China)
出处
《无线互联科技》
2022年第13期53-56,共4页
Wireless Internet Technology
关键词
高校二手市场
微信小程序
物品协同过滤
university second-hand market
wechat small program
item_based collaborative filtering