摘要
Feeds Ads在社交网络广告推荐系统中的投放规模占比逐步增大,实现Feeds Ads精准推荐在学术研究和工业实现方面均极具意义.深入分析Feeds Ads投放原理,以推荐系统协同过滤算法为理论基础、以用户POI偏好数据相似度算法为核心,设计开发基于用户POI游戏Feeds Ads系统,经验证测试该系统具备个性化广告精准推荐功能.
The proportion of Feeds Ads in the social network advertising recommendation system has gradually increased,and the realization of accurate Feeds Ads recommendation is of great significance in academic research and industrial implementation.The user-based POI game Feeds Ads system is designed and implemented based on the principle of the Feeds Ads delivery process,based on the collaborative filtering algorithm of the recommendation system,and based on the similarity algorithm of user POI preference data.After testing,the system has the function of accurate recommendation of personalized advertisement.
作者
韩俊波
黎海霞
HAN Junbo;LI Haixia(Department of Computer Science and Technology, NUAA, Nanjing 211100,China;Department of Information Engineering, Chaohu College, Hefei 238000,China;Zhejiang Police Officer Vocational College, Hangzhou 310018,China)
出处
《南阳师范学院学报》
CAS
2021年第1期44-47,共4页
Journal of Nanyang Normal University
基金
江苏省科技厅面上项目(BK20191274)
浙江省教育厅一般科研项目(Y202043143)
巢湖学院重点学科招标项目(ZDXK-201816)。
关键词
社交媒体
POI
推荐系统
偏好
精准推荐
social media
POI
recommendation system
preference
accurate recommendation
