A Personalized Causal Inference Framework for Media Effectiveness Using Hierarchical Bayesian Market Mix Models

Xin Ni; Yitian Zhang; Yanli Pu; Ming Wei; Qi Lou

doi:10.55524/ijirem.2024.11.5.19

Abstract

This study presents

Keywords

Hierarchical Bayesian Models, Market Mix Modeling, Personalized Causal Inference, Media Effectiveness

References

H. Zheng, K. Wu, J. H. Park, W. Zhu, and J. Luo, "Personalized fashion recommendation from personal social media data: An item-to-set metric learning approach," in 2021 IEEE International Conference on Big Data (Big Data), Dec. 2021, pp. 5014–5023. Available From: https://doi.org/10.1109/BigData52589.2021.9671563
X. Yang and G. Tang, "Deep study on marketing decision under the price fluctuation of pig market based on Bayesian method," in 2020 16th Dahe Fortune China Forum and Chinese High-Educational Management Annual Academic Conference (DFHMC), Dec. 2020, pp. 73–76. Available From: https://doi.org/10.1109/DFHMC52214.2020.00022
H. N. Bhor, T. Koul, R. Malviya, and K. Mundra, "Digital media marketing using trend analysis on social media," in 2018 2nd International Conference on Inventive Systems and Control (ICISC), Jan. 2018, pp. 1398–1400. Available From: https://doi.org/10.1109/ICISC.2018.8399038
P. Huynh, L. Irish, O. P. Yadav, A. Setty, and T. T. Q. Le, "Causal inference in longitudinal studies using causal Bayesian network with latent variables," in 2022 Annual Reliability and Maintainability Symposium (RAMS), Jan. 2022, pp. 1–7. Available From: https://doi.org/10.1109/RAMS51457.2022.9893992
L. Li, Y. Li, J. Xu, and Y. Zhang, "Research on algorithm combining Bayesian network model with causal reasoning," in 2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN), Dec. 2023, pp. 176–180. Available From: https://doi.org/10.1109/CICN59264.2023.10402197
F. Zhao, M. Zhang, S. Zhou, and Q. Lou, "Detection of network security traffic anomalies based on machine learning KNN method," Journal of Artificial Intelligence General Science (JAIGS), vol. 1, no. 1, pp. 209–218, 2024. https://doi.org/10.60087/jaigs.v1i1.213
M. Yang, D. Huang, H. Zhang, and W. Zheng, "AI-enabled precision medicine: Optimizing treatment strategies through genomic data analysis," Journal of Computer Technology and Applied Mathematics, vol. 1, no. 3, pp. 73–84, 2024. Available From: https://doi.org/10.5281/zenodo.13380619
X. Wen, Q. Shen, W. Zheng, and H. Zhang, "AI-driven solar energy generation and smart grid integration: A holistic approach to enhancing renewable energy efficiency," International Journal of Innovative Research in Engineering and Management, vol. 11, no. 4, p. 55, 2024. Available From: https://doi.org/10.55524/ijirem.2024.11.4.8
Q. Lou, "New development of administrative prosecutorial supervision with Chinese characteristics in the new era," Journal of Economic Theory and Business Management, vol. 1, no. 4, pp. 79–88, 2024. Available From: https://doi.org/10.5281/zenodo.13318762
S. Zhou, B. Yuan, K. Xu, M. Zhang, and W. Zheng, "The impact of pricing schemes on cloud computing and distributed systems," Journal of Knowledge Learning and Science Technology, vol. 3, no. 3, pp. 193–205, 2024. Available From: https://doi.org/10.1109/ICISC.2018.8399038
J. Sun, X. Wen, G. Ping, and M. Zhang, "Application of news analysis based on large language models in supply chain risk prediction," Journal of Computer Technology and Applied Mathematics, vol. 1, no. 3, pp. 55–65, 2024. Available From: https://doi.org/10.5281/zenodo.13377298
D. Huang, M. Yang, X. Wen, S. Xia, and B. Yuan, "AI-driven drug discovery: Accelerating the development of novel therapeutics in biopharmaceuticals," Journal of Knowledge Learning and Science Technology, vol. 3, no. 3, pp. 206–224, 2024. Available From: https://doi.org/10.60087/jklst.vol3.n3.p.206-2
Y. Liu, H. Tan, G. Cao, and Y. Xu, "Enhancing User Engagement through Adaptive UI/UX Design: A Study on Personalized Mobile App Interfaces," 2024. Available From: https://doi.org/10.53469/wjimt.2024.07(05).01
H. Xu, S. Li, K. Niu, and G. Ping, "Utilizing Deep Learning to Detect Fraud in Financial Transactions and Tax Reporting," Journal of Economic Theory and Business Management, vol. 1, no. 4, pp. 61-71, 2024. Available From: https://doi.org/10.5281/zenodo.13294459
P. Li, Y. Hua, Q. Cao, and M. Zhang, "Improving the Restore Performance via Physical-Locality Middleware for Backup Systems," in Proc. 21st Int. Middleware Conf., Dec. 2020, pp. 341-355. Available From: https://doi.org/10.1145/3423211.3425691
S. Zhou, B. Yuan, K. Xu, M. Zhang, and W. Zheng, "The Impact of Pricing Schemes on Cloud Computing and Distributed Systems," Journal of Knowledge Learning and Science Technology, vol. 3, no. 3, pp. 193-205, 2024. Available From: https://doi.org/10.60087/jklst.v3.n3.p206-224
F. Shang, F. Zhao, M. Zhang, J. Sun, and J. Shi, "Personalized Recommendation Systems Powered by Large Language Models: Integrating Semantic Understanding and User Preferences," Int. J. Innov. Res. Eng. Manag., vol. 11, no. 4, pp. 39-49, 2024. Available From: https://doi.org/10.55524/ijirem.2024.11.4.6
S. Wang, H. Zheng, X. Wen, and S. Fu, "Distributed High-Performance Computing Methods for Accelerating Deep Learning Training," Journal of Knowledge Learning and Science Technology, vol. 3, no. 3, pp. 108-126, 2024. Available From: https://doi.org/10.60087/jklst.v3.n3.p108-126
M. Zhang, B. Yuan, H. Li, and K. Xu, "LLM-Cloud Complete: Leveraging Cloud Computing for Efficient Large Language Model-based Code Completion," Journal of Artificial Intelligence General Science, vol. 5, no. 1, pp. 295-326, 2024. Available From: https://doi.org/10.60087/jaigs.v5i1.200
H. Lei, B. Wang, Z. Shui, P. Yang, and P. Liang, "Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology," arXiv preprint, arXiv:2404.04492, 2024. Available From: https://doi.org/10.48550/arXiv.2404.04492
B. Wang, H. Zheng, K. Qian, X. Zhan, and J. Wang, "Edge Computing and AI-Driven Intelligent Traffic Monitoring and Optimization," Applied Comput. Eng., vol. 77, pp. 225-230, 2024. Available From: https://doi.org/10.54254/2755-2721/77/2024MA0062
H. Li, S. X. Wang, F. Shang, K. Niu, and R. Song, "Applications of Large Language Models in Cloud Computing: An Empirical Study Using Real-world Data," Int. J. Innov. Res. Comput. Sci. Technol., vol. 12, no. 4, pp. 59-69, 2024. Available From: https://doi.org/10.55524/ijircst.2024.12.4.10
S. Wang, K. Xu, and Z. Ling, "Deep Learning-Based Chip Power Prediction and Optimization: An Intelligent EDA Approach," Int. J. Innov. Res. Comput. Sci. Technol., vol. 12, no. 4, pp. 77-87, 2024. Available From: https://doi.org/10.55524/ijircst.2024.12.4.13
K. Xu, H. Zhou, H. Zheng, M. Zhu, and Q. Xin, "Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning," arXiv preprint, arXiv:2403.19345, 2024. Available From: https://doi.org/10.48550/arXiv.2403.19345
K. Xu, H. Zheng, X. Zhan, S. Zhou, and K. Niu, "Evaluation and Optimization of Intelligent Recommendation System Performance with Cloud Resource Automation Compatibility," 2024. Available From: https://tinyurl.com/w4hdehvh
H. Zheng, K. Xu, H. Zhou, Y. Wang, and G. Su, "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis," Academic J. Sci. Technol., vol. 10, no. 1, pp. 62-68, 2024. Available From: https://doi.org/10.54097/v160aa61
H. Zheng, J. Wu, R. Song, L. Guo, and Z. Xu, "Predicting Financial Enterprise Stocks and Economic Data Trends Using Machine Learning Time Series Analysis," Applied Comput. Eng., vol. 87, pp. 26–32, 2024. Available From: https://tinyurl.com/yj2vv8tb
X. Zhan, C. Shi, L. Li, K. Xu, and H. Zheng, "Aspect Category Sentiment Analysis Based on Multiple Attention Mechanisms and Pre-trained Models," Applied Comput. Eng., vol. 71, pp. 21-26, 2024. Available From: https://doi.org/10.54254/2755-2721/67/2024MA0055
B. Wu, Y. Gong, H. Zheng, Y. Zhang, J. Huang, and J. Xu, "Enterprise Cloud Resource Optimization and Management Based on Cloud Operations," Applied Comput. Eng., vol. 67, pp. 8-14, 2024. Available From: https://doi.org/10.54254/2755-2721/76/20240667
L. Guo, Z. Li, K. Qian, W. Ding, and Z. Chen, "Bank Credit Risk Early Warning Model Based on Machine Learning Decision Trees," J. Econ. Theory Bus. Manag., vol. 1, no. 3, pp. 24-30, 2024. Available From: https://doi.org/10.5281/zenodo.11627011
Z. Xu, L. Guo, S. Zhou, R. Song, and K. Niu, "Enterprise Supply Chain Risk Management and Decision Support Driven by Large Language Models," Applied Sci. Eng. J. Adv. Res., vol. 3, no. 4, pp. 1-7, 2024. Available From: https://doi.org/10.5281/zenodo.12670581
R. Song, Z. Wang, L. Guo, F. Zhao, and Z. Xu, "Deep Belief Networks (DBN) for Financial Time Series Analysis and Market Trends Prediction," World J. Innov. Med. Technol., vol. 5, no. 3, pp. 27-34, 2024. Available From: https://doi.org/10.53469/wjimt.2024.07(04).01
L. Guo, R. Song, J. Wu, Z. Xu, and F. Zhao, "Integrating a Machine Learning-Driven Fraud Detection System Based on a Risk Management Framework," Preprints, vol. 2024, no. 061756, 2024. Available From: https://tinyurl.com/y753a76j
Y. Feng, Y. Qi, H. Li, X. Wang, and J. Tian, "Leveraging Federated Learning and Edge Computing for Recommendation Systems Within Cloud Computing Networks," in Proc. 3rd Int. Symp. Comput. Appl. Inf. Syst. (ISCAIS 2024), SPIE, vol. 13210, pp. 279-287, Jul. 2024. Available From: https://doi.org/10.1117/12.3034773
F. Zhao, H. Li, K. Niu, J. Shi, and R. Song, "Application of Deep Learning-Based Intrusion Detection System (IDS) in Network Anomaly Traffic Detection," Preprints, vol. 2024, no. 070595, 2024. Available From: https://tinyurl.com/h2susafr
Y. Gong, H. Liu, L. Li, J. Tian, and H. Li, "Deep Learning-Based Medical Image Registration Algorithm: Enhancing Accuracy with Dense Connections and Channel Attention Mechanisms," J. Theory Pract. Eng. Sci., vol. 4, no. 2, pp. 1-7, Feb. 2024. Available From: https://tinyurl.com/2j62ashz
K. Yu, Q. Bao, H. Xu, G. Cao, and S. Xia, "An Extreme Learning Machine Stock Price Prediction Algorithm Based on the Optimization of the Crown Porcupine Optimization Algorithm With an Adaptive Bandwidth Kernel Function Density Estimation Algorithm," 2024. Available From: https://tinyurl.com/3jeu3v6a
A. Li, S. Zhuang, T. Yang, W. Lu, and J. Xu, "Optimization of Logistics Cargo Tracking and Transportation Efficiency Based on Data Science Deep Learning Models," Applied Comput. Eng., vol. 69, pp. 71-77, Jul. 2024. Available From: https://tinyurl.com/yehy6dhp
J. Xu, T. Yang, S. Zhuang, H. Li, and W. Lu, "AI-Based Financial Transaction Monitoring and Fraud Prevention With Behaviour Prediction," Applied Comput. Eng., vol. 77, pp. 218-224, 2024. Available From: https://tinyurl.com/4b5e4n95
Z. Ling, Q. Xin, Y. Lin, G. Su, and Z. Shui, "Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention," Applied Comput. Eng., vol. 77, pp. 210-217, 2024. Available From: https://tinyurl.com/3wrcpaer
Z. He, X. Shen, Y. Zhou, and Y. Wang, "Application of K-Means Clustering Based on Artificial Intelligence in Gene Statistics of Biological Information Engineering," in Proc. 2024 4th Int. Conf. Bioinformatics Intell. Comput., pp. 468-473, Jan. 2024. Available From: https://doi.org/10.1145/3665689.3665767
J. Shi, F. Shang, S. Zhou, X. Zhang, and G. Ping, "Applications of Quantum Machine Learning in Large-Scale E-Commerce Recommendation Systems: Enhancing Efficiency and Accuracy," J. Ind. Eng. Appl. Sci., vol. 2, no. 4, pp. 90-103, 2024. Available From: https://doi.org/10.5281/zenodo.13117899
S. Wang, H. Zheng, X. Wen, and S. Fu, "Distributed high-performance computing methods for accelerating deep learning training," Journal of Knowledge Learning and Science Technology, vol. 3, no. 3, pp. 108-126, 2024. Available From: https://doi.org/10.60087/jklst.v3.n3.p108-126

Cites this article as

X. Ni, Y. Zhang, Y. Pu, M. Wei, Q. Lou, "A Personalized Causal Inference Framework for Media Effectiveness Using Hierarchical Bayesian Market Mix Models", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-11, Issue-5, Page No-135-145, 2024. Available from: https://doi.org/10.55524/ijirem.2024.11.5.19