摘要
推荐系统已经成为网络营销中重要组成部分.由于群体的多样性和动态性,群体推荐是目前具有挑战性的问题.现有的群体推荐主要集中在群体成员的内容兴趣上,而忽略了其他有助于提高推荐质量的特征.本文提出了一种团体优惠券推荐系统,它可以向顾客推荐地理位置敏感的产品,并协助他们组团,以便在团购中利用卖家提供的折扣优惠券获取最优惠的价格.随着智能手机使用量的增加,团队基于所提出的推荐方法开发了一个名为“聚省汇”的移动应用程序,对微信用户进行推荐团体折扣的实验.实验结果表明,此App不仅可以为团购推荐打折产品,而且可以显著提高顾客的购买意愿.
Recommendation system has become an important part of network marketing.Due to the diversity and dynamics of groups,group recommendation is a challenging problem at present.Some researchers mainly focus on the content interests of group members,while they ignores other characteristics that can help improve the recommendation quality.The article proposes a group coupon recommendation system that recommends location-sensitive products to customers and helps them group together to take advantage of discount coupons offered by sellers to get the best deal in group buying.As the use of smartphones increased,the team developed a mobile application called PolyProvince based on the proposed recommendation method,and experimented with group discounts for WeChat users.The experimental results show that this App can not only recommend discount products for group purchase,but also significantly improving customers'purchase intention.
作者
秦晓安
路贺龙
QIN Xiaoan;LU Helong(Anhui Business College of Vocational Technology,Wuhu 241002,China)
出处
《赣南师范大学学报》
2020年第6期65-69,共5页
Journal of Gannan Normal University
基金
安徽省自然科学一般项目(KJSM201702)
校级重点项目(2018ZDX02)。
关键词
推荐系统
聚省汇
团购
地理位置
用户群
recommendation system
PolyProvince
group-buying
geographical location
the user group
