基于Spark的实时广告推荐系统研究

Research on Real-time Advertising Recommendation System Based on Spark

随着信息技术及智能移动设备的发展和普及,广告的推送方式和投放平台呈现多样化。传统电商推荐系统的运行速度较慢,无法根据根据用户的实际需求进行推荐。实时广告推荐系统作为应对这些挑战的有效手段,成为个性化服务领域的研究热点之一。文章重点分析了基于Spark的实时广告推荐系统,以期为相关研究提供借鉴。

With the development and popularization of information technology and intelligent mobile devices,the push methods and placement platforms of advertisements have become diversified.The traditional e-commerce recommendation system runs slowly and cannot recommend based on the actual needs of users.As an effective means to address these challenges,real-time advertising recommendation systems have become one of the research hotspots in the field of personalized services.The article focuses on analyzing the real-time advertising recommendation system based on Spark,in order to provide reference for related research.