Research On Real-time Advertising Recommendation System Based On Flink
With the rapid development of artificial intelligence and real-time big data computing technology,personalized recommendation systems have become one of the research hotspots in the field of personalized services due to their deep mining and accurate matching of user data.This article uses the Flink framework as the foundation to design an advertising recommendation system.By obtaining real-time user behavior and analyzing it in combination with historical user behavior data and information,the system achieves real-time recommendation results based on offline recommendations and real-time calculation of user behavior.
Flinkpersonalized advertisingadvertisement recommendation systempersonalized serviceartificial intelligencebig data
万方数据
