Research Article
Research on New Media Precision Marketing Method Based on Big Data Information Automatic Push
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330283, author={Yi Zhou and Yu Chen}, title={Research on New Media Precision Marketing Method Based on Big Data Information Automatic Push}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={marketing push intelligent analysis system design simulation experiment}, doi={10.4108/eai.6-1-2023.2330283} }- Yi Zhou
Yu Chen
Year: 2023
Research on New Media Precision Marketing Method Based on Big Data Information Automatic Push
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330283
Abstract
Aiming at the problems of low precision and overload of commodity push system, this paper proposes a precise marketing push model based on user portrait feature information. Based on the analysis results and scoring matrix of users' historical behaviors, the user's interest model is constructed, and it is transformed into the user's label model by using label rules. At the same time, the Thrift framework interface is called according to a variety of mixed rules, and the user's preferred push commodity list is returned, so that an accurate marketing push system with excellent performance and low delay time is realized. The simulation results show that the precision marketing push system in this paper uses NDCG algorithm to optimize the parameters, which has high accuracy and stability.
